Will AI replace Financial accounts managers?

Not as a job, but it is already doing parts of the work. Across the 118 official task statements scored for Financial accounts managers (United Kingdom, SOC 3534), 52% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 59 out of 100 (range 53–65, band: partial). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.

Which tasks in “Financial accounts managers” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Enter insurance- and claims-related information into database systems” (93/100, very high); “Enter data into computer to adjust accounts” (93/100, very high); “Obtain computer printouts of cancelled insurance policies” (93/100, very high). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.

Which tasks in “Financial accounts managers” stay human?

About 25% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Facilitate the relationship between different branch offices” (10/100, minimal); “Use these relationships to develop new business opportunities” (10/100, minimal); “Establish and maintain effective and professional relationships with clients and other stakeholders” (10/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.

What should someone working in “Financial accounts managers” do about AI?

Start from the ledger rather than the headline: 52% of this job's weighted core work is exposed, and roughly 25% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.

How is the AI exposure score for Financial accounts managers calculated?

Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 118 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

UK dataswitch to US

Financial accounts managers

establishing and maintaining effective and professional relationships with clients and other stakeholders, guiding clients on business transactions and using these relationships to develop new business opportunities. If that's your week, this page is about your job.

The honest answer

This job is splitting in two: assessing financial performance of clients through detailed analysis and interpretation of financial data is work AI now does quickly and cheaply, and offering tailored financial advice to clients based on their individual financial situations is work it can't touch.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 52%
changing shape: 23%
staying human: 25%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

Whole-job exposure score 59 out of 100 (53–65 allowing for uncertainty): partial exposure, across 118 scored tasks. The number is the support for the sentence above it, not a headline about anyone’s future.

How we know this

What is measured: Every published task statement for financial accounts managers is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-04. Read the full method.

Which half fills your week decides your exposure. The ledger below shows which rows you can move toward.

Your week, as this page understands it

Financial accounts managers manage client accounts or departments within financial institutions (such as banks and insurance companies) or manage a variety of financial accounts within other organisations. The job title says “financial accounts managers”. The real job is the part underneath: offering tailored financial advice to clients based on their individual financial situations. That is the thing someone has to be right about.

The exposed part of this job is specific, and we won’t pretend it is coming back. But financial accounts managers is not one task. It is 118 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is offering tailored financial advice to clients based on their individual financial situations, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 52%
changing shape: 23%
staying human: 25%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

How we know this

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-04. Read the full method.

Your job, task by task

These are the official task statements for this occupation, in plain English, sorted by what the evidence says is happening to each one. The official wording sits under every line so you can check the rewrite against it.

30 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Shifting to AI

62 tasks

Tasks today’s tools can already do most of. This is the part we will not soften: where these rows are the bulk of your week, the week changes.

Assessing financial performance of clients through detailed analysis and interpretation of financial data
This is reading one thing and writing another: financial performance of clients in, a record out. That is the shape today's tools are built for.
importance 90 · 3534/03, 3534/04
Source: “Assess financial performance of clients through detailed analysis and interpretation of financial data.” (UK task statement)
How this row was scored
Exposure score: 83 out of 100 (79–87 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Analysing a client's financial performance from their statements is well-documented analysis.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Staying informed about developments in clients' industries to provide tailored advice
This is reading one thing and writing another: informed in, a record out. That is the shape today's tools are built for.
importance 80 · 3534/03, 3534/04
Source: “Stay informed about developments in clients' industries to provide tailored advice.” (UK task statement)
How this row was scored
Exposure score: 83 out of 100 (79–87 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Keeping current with clients' industries is reading and summarising that AI does well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Analysing data, maintain records and producing reports on compliance and risk activities to ensure policies are being correctly
This is reading one thing and writing another: data, maintain records and producing reports in, a record out. That is the shape today's tools are built for.
importance 80 · 3534/03, 3534/04
Source: “Analyse data, maintain records, and produce reports on compliance and risk activities to ensure policies are being correctly applied.” (UK task statement)
How this row was scored
Exposure score: 69 out of 100 (62–76 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Compliance analysis and reporting run on stored bank data, but a named senior person must answer for what the report says.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Utilising various financial modelling techniques for economic analysis
This is reading one thing and writing another: various financial modelling techniques in, a record out. That is the shape today's tools are built for.
importance 85 · 3534/03, 3534/04
Source: “Utilise various financial modelling techniques for economic analysis.” (UK task statement)
How this row was scored
Exposure score: 83 out of 100 (79–87 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Financial modelling for economic analysis is well documented with abundant reference material.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.

Changing shape

27 tasks

Tasks where the machine takes the producing and a person keeps the checking, the deciding, or the answering-for-it. For most jobs this is the biggest group, and it is where "transformation, not termination" is literally visible.

Proactivelying identify opportunities to optimize client portfolios and enhance profitability through strategic planning and continuous monitoring and evaluation
The software now makes the first pass at identify opportunities, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 85 · 3534/03, 3534/04
Source: “Proactively identify opportunities to optimize client portfolios and enhance profitability through strategic planning and continuous monitoring and evaluation.” (UK task statement)
How this row was scored
Exposure score: 40 out of 100 (33–47 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Improving a client's portfolio is regulated business needing an authorised, competent person, though the monitoring behind it is automated.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 3/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Collaborating with internal teams, such as risk management, compliance and operations
The software now makes the first pass at internal teams, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 80 · 3534/03, 3534/04
Source: “Collaborate with internal teams, such as risk management, compliance, and operations, to ensure compliant and efficient delivery of banking products and services.” (UK task statement)
How this row was scored
Exposure score: 40 out of 100 (33–47 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Getting risk, compliance and operations aligned depends on working relationships inside the bank.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Implementing investment strategies
The software now makes the first pass at investment strategies, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 90 · 3534/03
Source: “Implement investment strategies.” (UK task statement)
How this row was scored
Exposure score: 47 out of 100 (40–54 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Putting investment strategies into effect for clients is regulated business only an authorised, competent person may carry out.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 3/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

Staying human

29 tasks

Tasks that stay with a person, because they happen in the physical world, because the rules need someone accountable, or because the value is that a specific person does them.

Offering tailored financial advice to clients based on their individual financial situations
The rules require a named, qualified person to answer for tailored financial advice, and that person cannot be a piece of software.
importance 90 · 3534/03, 3534/04
Source: “Offer tailored financial advice to clients based on their individual financial situations.” (UK task statement)
How this row was scored
Exposure score: 23 out of 100 (16–30 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Giving someone a personal financial recommendation is regulated in Britain and must come from an authorised, competent adviser they trust.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 3/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Matching banking products and services to clients' specific needs and requirements by conducting thorough evaluations and identifying suitable options
The rules require a named, qualified person to answer for products, and that person cannot be a piece of software.
importance 80 · 3534/03, 3534/04
Source: “Match banking products and services to clients' specific needs and requirements by conducting thorough evaluations and identifying suitable options.” (UK task statement)
How this row was scored
Exposure score: 33 out of 100 (26–40 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Recommending which banking products suit a client is advice needing a competent, authorised person who understands their circumstances.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 3/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Communicating with customers to address their needs
This work happens in the physical world: customers, in a real place. Software cannot follow it there.
importance 70 · 3534/02, 3534/04
Source: “Communicate with customers to address their needs.” (UK task statement)
How this row was scored
Exposure score: 20 out of 100 (13–27 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Serving a customer at the counter happens face to face.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.

Show the other 108 tasks

Entering insurance- and claims-related information into database systems
shifting to AI
This is reading one thing and writing another: insurance- in, a record out. That is the shape today's tools are built for.
importance 85 · 3534/01
Source: “Enter insurance- and claims-related information into database systems.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Typing claim details into a database is the plainest form of data entry, and systems already capture most of it.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Entering data into computer to adjust accounts
shifting to AI
This is reading one thing and writing another: data in, a record out. That is the shape today's tools are built for.
importance 70 · 3534/01
Source: “Enter data into computer to adjust accounts.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Keying adjustments into an accounts system is routine data entry with a defined right answer.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Obtaining computer printouts of cancelled insurance policies
shifting to AI
This is reading one thing and writing another: computer printouts of cancelled insurance policies in, a record out. That is the shape today's tools are built for.
importance 65 · 3534/01
Source: “Obtain computer printouts of cancelled insurance policies.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Pulling a list of cancelled policies out of a system is a straightforward report you can run automatically.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Composing business correspondence
shifting to AI
This is reading one thing and writing another: business correspondence in, a record out. That is the shape today's tools are built for.
importance 60 · 3534/01
Source: “Compose business correspondence for supervisors, managers, and professionals.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Drafting business letters and emails on someone else's behalf is one of the things language software does best.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Issuing receipts
shifting to AI
This is reading one thing and writing another: receipts in, a record out. That is the shape today's tools are built for.
importance 60 · 3534/01
Source: “Issue receipts.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Issuing a receipt is generated by the till system, with only the handover done by a person.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Organising detailed office records using computers
shifting to AI
This is reading one thing and writing another: detailed office records in, a record out. That is the shape today's tools are built for.
importance 60 · 3534/01
Source: “Organise detailed office records using computers.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Sorting and filing office records on a computer is exactly the kind of organising software already handles.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Transcribing data to worksheets for document preparation
shifting to AI
This is reading one thing and writing another: data in, a record out. That is the shape today's tools are built for.
importance 60 · 3534/01
Source: “Transcribe data to worksheets for document preparation.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Moving figures from one place into a worksheet is copying and formatting, which is fully automatable.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Checking customer credit ratings
shifting to AI
This is reading one thing and writing another: customer credit ratings in, a record out. That is the shape today's tools are built for.
importance 90 · 3534/02
Source: “Check customer credit ratings.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Credit ratings come back automatically from bureau systems, so checking them is largely a machine step already.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Processing approved loan applications
shifting to AI
This is reading one thing and writing another: approved loan applications in, a record out. That is the shape today's tools are built for.
importance 85 · 3534/02
Source: “Process approved loan applications.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Processing an approved application is a defined workflow that systems handle end to end.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Monitoring spending and cash flows
shifting to AI
This is reading one thing and writing another: cash flows in, a record out. That is the shape today's tools are built for.
importance 80 · 3534/02
Source: “Monitor spending and cash flows.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Tracking spending and cash flow against budget is standard accounting software territory.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing reports on operational results
shifting to AI
This is reading one thing and writing another: reports in, a record out. That is the shape today's tools are built for.
importance 80 · 3534/02
Source: “Prepare reports on operational results, financial performance, and goal accomplishments.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Turning operational and financial data into a performance report is highly automatable.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Forwarding irreconcilable accounts to debt collectors for action
shifting to AI
This is reading one thing and writing another: irreconcilable accounts in, a record out. That is the shape today's tools are built for.
importance 75 · 3534/02
Source: “Forward irreconcilable accounts to debt collectors for action.” (UK task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Passing unrecoverable accounts to collectors is a rules-driven step systems already perform.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Analysing financial information to forecast business
shifting to AI
This is reading one thing and writing another: financial information in, a record out. That is the shape today's tools are built for.
importance 90 · 3534/02
Source: “Analyse financial information to forecast business, industry, or economic conditions and guide investment decisions.” (UK task statement)
How this row was scored
Exposure score: 83 out of 100 (79–87 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Forecasting from financial and economic data draws on abundant published material AI handles well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Analysing and classifying risks and investments to assess their potential impacts on companies
shifting to AI
This is reading one thing and writing another: risks in, a record out. That is the shape today's tools are built for.
importance 80 · 3534/02
Source: “Analyse and classify risks and investments to assess their potential impacts on companies.” (UK task statement)
How this row was scored
Exposure score: 83 out of 100 (79–87 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Classifying risks and investments is well-documented analysis with abundant reference material.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Establishing procedures for record retention or destruction
shifting to AI
This is reading one thing and writing another: procedures in, a record out. That is the shape today's tools are built for.
importance 70 · 3534/02
Source: “Establish procedures for record retention or destruction.” (UK task statement)
How this row was scored
Exposure score: 83 out of 100 (79–87 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Retention and destruction schedules follow published standards AI can turn into policy.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Consulting financial media to understand current investment market trends
shifting to AI
This is reading one thing and writing another: financial media in, a record out. That is the shape today's tools are built for.
importance 85 · 3534/03
Source: “Consult financial media to understand current investment market trends.” (UK task statement)
How this row was scored
Exposure score: 83 out of 100 (76–90 allowing for uncertainty): very high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Financial media is abundant and public, so reading and summarising it is something software does quickly and well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Monitoring law changes to capitalise on development opportunities
shifting to AI
This is reading one thing and writing another: law changes in, a record out. That is the shape today's tools are built for.
importance 70 · 3534/03
Source: “Monitor law changes to capitalise on development opportunities.” (UK task statement)
How this row was scored
Exposure score: 83 out of 100 (79–87 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Legislation and consultations are published openly, so tracking and summarising changes is well-suited to software.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Amending existing policies and claims to reflect changes in beneficiary or amount of coverage
shifting to AI
This is reading one thing and writing another: policies in, a record out. That is the shape today's tools are built for.
importance 85 · 3534/01
Source: “Amend existing policies and claims to reflect changes in beneficiary or amount of coverage.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (74–88 allowing for uncertainty): very high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Changing a name or a sum insured on an existing record is routine system work with a clear right answer.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Reviewing and verifying data, such as age, name, address and principal sum and value of property
shifting to AI
This is reading one thing and writing another: data in, a record out. That is the shape today's tools are built for.
importance 85 · 3534/01
Source: “Review and verify data, such as age, name, address, and principal sum and value of property, on insurance applications and policies.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Verifying application details against records is systematic checking software performs consistently, with underwriting decisions made separately.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Transmiting claims for payment to ensure timely processing
shifting to AI
This is reading one thing and writing another: claims in, a record out. That is the shape today's tools are built for.
importance 85 · 3534/01
Source: “Transmit claims for payment to ensure timely processing.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Passing a completed claim through to payment is a system step with clear rules and little judgement.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Calculating insurance quote premiums
shifting to AI
This is reading one thing and writing another: insurance quote premiums in, a record out. That is the shape today's tools are built for.
importance 80 · 3534/01
Source: “Calculate insurance quote premiums.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Premiums come from rating tables and formulas, which computers already work through faster and more accurately.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Calculating premiums using insurance rate standards
shifting to AI
This is reading one thing and writing another: premiums in, a record out. That is the shape today's tools are built for.
importance 80 · 3534/01
Source: “Calculate premiums using insurance rate standards.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Applying published rate standards to a set of facts is arithmetic against a rulebook.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Maintaining detailed and accurate records of underwritten policies and decisions
shifting to AI
This is reading one thing and writing another: detailed in, a record out. That is the shape today's tools are built for.
importance 80 · 3534/01
Source: “Maintain detailed and accurate records of underwritten policies and decisions.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Keeping a clean record of policies and the decisions behind them is filing and logging work.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Processing new insurance policies
shifting to AI
This is reading one thing and writing another: new insurance policies in, a record out. That is the shape today's tools are built for.
importance 80 · 3534/01
Source: “Process new insurance policies.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: New policy set-up follows a fixed sequence of checks and data entries with very little that varies.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Submitting applications for coverage to insurance providers
shifting to AI
This is reading one thing and writing another: applications in, a record out. That is the shape today's tools are built for.
importance 80 · 3534/01
Source: “Submit applications for coverage to insurance providers.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Submitting a coverage application is filling a defined form from information already gathered.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Checking computations of interest
shifting to AI
This is reading one thing and writing another: computations of interest in, a record out. That is the shape today's tools are built for.
importance 70 · 3534/01
Source: “Check computations of interest accrued, premiums due, and settlement surrender on loan values.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Recalculating interest, premiums and surrender values is arithmetic against fixed rules.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing business or government forms for submission
shifting to AI
This is reading one thing and writing another: business in, a record out. That is the shape today's tools are built for.
importance 70 · 3534/01
Source: “Prepare business or government forms for submission.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: These forms follow published templates and the data sits in bank systems, so software fills them; someone senior signs before submission.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Generating financial ratios using computer programs to evaluate customers' financial status
shifting to AI
This is reading one thing and writing another: financial ratios in, a record out. That is the shape today's tools are built for.
importance 85 · 3534/02
Source: “Generate financial ratios using computer programs to evaluate customers' financial status.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Financial ratios are fixed formulas run against data already in the bank's systems, with the credit decision taken separately.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Setting up customer credit accounts
shifting to AI
This is reading one thing and writing another: customer credit accounts in, a record out. That is the shape today's tools are built for.
importance 85 · 3534/02
Source: “Set up customer credit accounts.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Opening a credit account is a defined sequence of checks and record creation.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Comparing liquidity, profitability and crediting histories of businesses being evaluated with those of similar businesses in the same industries and geographic locations
shifting to AI
This is reading one thing and writing another: liquidity in, a record out. That is the shape today's tools are built for.
importance 80 · 3534/02
Source: “Compare liquidity, profitability, and credit histories of businesses being evaluated with those of similar businesses in the same industries and geographic locations.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Comparing companies against industry peers is documented analysis run on available financial data, with lending judgements taken separately.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Reviewing accounts to determine write-offs for collection agencies
shifting to AI
This is reading one thing and writing another: accounts in, a record out. That is the shape today's tools are built for.
importance 80 · 3534/02
Source: “Review accounts to determine write-offs for collection agencies.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Deciding which balances to write off follows written policy against stored data, with the outcome reviewed in the accounts.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Reviewing loan agreements to ensure that they are complete and accurate according to policy
shifting to AI
This is reading one thing and writing another: loan agreements in, a record out. That is the shape today's tools are built for.
importance 80 · 3534/02
Source: “Review loan agreements to ensure that they are complete and accurate according to policy.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Checking a loan agreement against policy is systematic document review software performs well, with the signing done separately.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Submitting loan applications with recommendation for underwriting approval
shifting to AI
This is reading one thing and writing another: loan applications in, a record out. That is the shape today's tools are built for.
importance 80 · 3534/02
Source: “Submit loan applications with recommendation for underwriting approval.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: The application is explicitly passed to underwriting for the decision, and assembling it from bank data is routine.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Reviewing customer files to identify and select overdue accounts for collection
shifting to AI
This is reading one thing and writing another: customer files in, a record out. That is the shape today's tools are built for.
importance 75 · 3534/02
Source: “Review customer files to identify and select overdue accounts for collection.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Screening customer files against overdue criteria is a straightforward query on bank data, with collection decisions made afterwards.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Performing detailed data analysis and valuation of assets
shifting to AI
This is reading one thing and writing another: detailed data analysis in, a record out. That is the shape today's tools are built for.
importance 85 · 3534/03
Source: “Perform detailed data analysis and valuation of assets.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Detailed number crunching and valuation modelling is where software is at its most reliable.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing investment performance reports for clients and investment managers
shifting to AI
This is reading one thing and writing another: investment performance reports in, a record out. That is the shape today's tools are built for.
importance 85 · 3534/03
Source: “Prepare investment performance reports for clients and investment managers.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Performance reporting is generated from portfolio systems, so software assembles it, with investment managers reviewing before clients see it.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Evaluating the financial performance of target companies
shifting to AI
This is reading one thing and writing another: the financial performance of target companies in, a record out. That is the shape today's tools are built for.
importance 80 · 3534/03
Source: “Evaluate the financial performance of target companies.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Assessing a target company's results uses documented methods on available financial data, with the deal judgement made separately.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing comprehensive reports for management review and decision-making
shifting to AI
This is reading one thing and writing another: comprehensive reports in, a record out. That is the shape today's tools are built for.
importance 80 · 3534/03
Source: “Prepare comprehensive reports for management review and decision-making.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Management reports are drafted well by software from bank data, with managers reviewing before decisions are taken.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Calculating and managing initial and ongoing margin for derivatives positions
shifting to AI
This is reading one thing and writing another: initial in, a record out. That is the shape today's tools are built for.
importance 75 · 3534/03
Source: “Calculate and manage initial and ongoing margin for derivatives positions.” (UK task statement)
How this row was scored
Exposure score: 81 out of 100 (77–85 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Margin is calculated from published formulas and live positions, and is already handled by systems.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Referring customers to car repair facilities or local contractors
shifting to AI
This is reading one thing and writing another: customers in, a record out. That is the shape today's tools are built for.
importance 75 · 3534/01
Source: “Refer customers to car repair facilities or local contractors.” (UK task statement)
How this row was scored
Exposure score: 79 out of 100 (75–83 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Pointing a customer at an approved garage or contractor is a lookup against an existing list.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Analysing revenue and cost data to determine budget priorities
shifting to AI
This is reading one thing and writing another: revenue in, a record out. That is the shape today's tools are built for.
importance 75 · 3534/02
Source: “Analyse revenue and cost data to determine budget priorities.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Analysing revenue and cost data to set budget priorities is spreadsheet work AI does well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Making recommendations for changes
shifting to AI
This is reading one thing and writing another: recommendations in, a record out. That is the shape today's tools are built for.
importance 75 · 3534/02
Source: “Make recommendations for changes to procedures, operating systems, budgets, or financial controls.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Reviewing controls and suggesting improvements is analysis and writing AI supports strongly.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Creating written documents and presentations for marketing plans and campaigns
shifting to AI
This is reading one thing and writing another: written documents in, a record out. That is the shape today's tools are built for.
importance 60 · 3534/03
Source: “Create written documents and presentations for marketing plans and campaigns.” (UK task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Writing and building the deck is quick for software, though the plan itself needs the business's own thinking.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Comparing information from application to criteria for policy reinstatement
shifting to AI
This is reading one thing and writing another: information in, a record out. That is the shape today's tools are built for.
importance 80 · 3534/01
Source: “Compare information from application to criteria for policy reinstatement, and approve reinstatement when criteria are met.” (UK task statement)
How this row was scored
Exposure score: 69 out of 100 (62–76 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Matching an application against written reinstatement criteria is mechanical, but the approval itself commits an insurer, so an authorised employee owns it.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Corresponding with insured or agent to obtain information or inform them of account status or changes
shifting to AI
This is reading one thing and writing another: insured in, a record out. That is the shape today's tools are built for.
importance 80 · 3534/01
Source: “Correspond with insured or agent to obtain information or inform them of account status or changes.” (UK task statement)
How this row was scored
Exposure score: 69 out of 100 (65–73 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Writing to a customer about the state of their account is standard correspondence built from data already on file.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Analysing credit data and financial statements to assess the risk in extending credit or lending money
shifting to AI
This is reading one thing and writing another: credit data in, a record out. That is the shape today's tools are built for.
importance 85 · 3534/02
Source: “Analyse credit data and financial statements to assess the risk in extending credit or lending money.” (UK task statement)
How this row was scored
Exposure score: 69 out of 100 (62–76 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Credit analysis is model-driven and well documented, but deciding to lend commits the bank, so competent staff must own it.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Approving or rejecting lines of credit and various loans
shifting to AI
This is reading one thing and writing another: lines of credit in, a record out. That is the shape today's tools are built for.
importance 85 · 3534/02
Source: “Approve or reject lines of credit and various loans.” (UK task statement)
How this row was scored
Exposure score: 69 out of 100 (62–76 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Automated credit decisions are lawful and common, but approving lending commits the bank so competent staff must own the outcome.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Assessing lending risk based on financial data
shifting to AI
This is reading one thing and writing another: risk in, a record out. That is the shape today's tools are built for.
importance 85 · 3534/02
Source: “Assess lending risk based on financial data.” (UK task statement)
How this row was scored
Exposure score: 69 out of 100 (62–76 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Credit risk scoring already runs on models and stored data, but the lending assessment commits the bank so authorised staff own it.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Completing loan applications and crediting analyses
shifting to AI
This is reading one thing and writing another: loan applications in, a record out. That is the shape today's tools are built for.
importance 85 · 3534/02
Source: “Complete loan applications and credit analyses.” (UK task statement)
How this row was scored
Exposure score: 69 out of 100 (62–76 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Completing applications and credit analysis is largely automated, but the lending assessment is regulated business needing competent bank staff.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Assessing loan applications to determine eligibility
shifting to AI
This is reading one thing and writing another: loan applications in, a record out. That is the shape today's tools are built for.
importance 80 · 3534/02
Source: “Assess loan applications to determine eligibility.” (UK task statement)
How this row was scored
Exposure score: 69 out of 100 (62–76 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Eligibility assessment runs on documented criteria and stored data, but the lending decision commits the bank so competent staff own it.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Processing and settling derivatives and complex investments according to financial regulations
shifting to AI
This is reading one thing and writing another: derivatives in, a record out. That is the shape today's tools are built for.
importance 75 · 3534/03
Source: “Process and settle derivatives and complex investments according to financial regulations.” (UK task statement)
How this row was scored
Exposure score: 69 out of 100 (65–73 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Settlement runs on defined rules and message formats and is already largely automated in the market.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Completing and submitting insurance claims to ensure timely processing
shifting to AI
This is reading one thing and writing another: insurance claims in, a record out. That is the shape today's tools are built for.
importance 90 · 3534/01
Source: “Complete and submit insurance claims to ensure timely processing.” (UK task statement)
How this row was scored
Exposure score: 66 out of 100 (62–70 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Filling in and sending a claim from records already held is form and data work software handles well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Reviewing insurance policies to determine coverage details
shifting to AI
This is reading one thing and writing another: insurance policies in, a record out. That is the shape today's tools are built for.
importance 90 · 3534/01
Source: “Review insurance policies to determine coverage details.” (UK task statement)
How this row was scored
Exposure score: 66 out of 100 (62–70 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Reading a policy document to work out what is covered is exactly the kind of close reading software does well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Examining company documents to assess the effects of changes
shifting to AI
This is reading one thing and writing another: company documents in, a record out. That is the shape today's tools are built for.
importance 75 · 3534/01
Source: “Examine company documents to assess the effects of changes.” (UK task statement)
How this row was scored
Exposure score: 66 out of 100 (62–70 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Working out what a change means by reading company documents is document analysis, which software does well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Evaluating financial reporting systems, accounting, collection procedures or investment activities
shifting to AI
This is reading one thing and writing another: financial reporting systems, accounting in, a record out. That is the shape today's tools are built for.
importance 80 · 3534/02
Source: “Evaluate financial reporting systems, accounting, collection procedures, or investment activities.” (UK task statement)
How this row was scored
Exposure score: 66 out of 100 (59–73 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Reviewing how financial systems and procedures work is documented analysis software drafts, with findings acted on by managers.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Evaluating industry research to inform decision making and valuation
shifting to AI
This is reading one thing and writing another: industry research in, a record out. That is the shape today's tools are built for.
importance 85 · 3534/03
Source: “Evaluate industry research to inform decision making and valuation.” (UK task statement)
How this row was scored
Exposure score: 66 out of 100 (62–70 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Reading industry research and pulling out what matters for a valuation is document work software is strong at.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Assessing project feasibility by analysing technology
shifting to AI
This is reading one thing and writing another: project feasibility in, a record out. That is the shape today's tools are built for.
importance 70 · 3534/03
Source: “Assess project feasibility by analysing technology, resource needs, and market demand.” (UK task statement)
How this row was scored
Exposure score: 66 out of 100 (59–73 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Feasibility analysis draws on documented methods and available market data, so software drafts it, with the decision taken by managers.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Contacting claimants to get additional information
shifting to AI
This is reading one thing and writing another: claimants in, a record out. That is the shape today's tools are built for.
importance 85 · 3534/01
Source: “Contact claimants to get additional information.” (UK task statement)
How this row was scored
Exposure score: 64 out of 100 (60–68 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Chasing missing details is mostly templated contact; only the odd awkward case needs a person to pick up the phone.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Providing financial updates and information to shareholders
changing shape
The software now makes the first pass at financial updates, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 70 · 3534/02
Source: “Provide financial updates and information to shareholders.” (UK task statement)
How this row was scored
Exposure score: 59 out of 100 (52–66 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Shareholder reporting is produced from systems, but what a company tells its investors carries formal approval by accountable officers.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Analysing acquisitions to ensure they align with strategic goals or regulatory requirements
changing shape
The software now makes the first pass at acquisitions, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 85 · 3534/03
Source: “Analyse acquisitions to ensure they align with strategic goals or regulatory requirements.” (UK task statement)
How this row was scored
Exposure score: 59 out of 100 (52–66 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; mistakes that are cheap to catch.
The rating behind it: Testing an acquisition against stated goals and rules is document and data analysis, though the key facts are often private.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Paying small claims to expedite resolution
changing shape
The software now makes the first pass at small claims, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 85 · 3534/01
Source: “Pay small claims to expedite resolution.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Deciding to pay out, even a small amount, is money leaving the firm, so a responsible person signs it off.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Calculating new reserve requirements using insurance rate standards
changing shape
The software now makes the first pass at new reserve requirements, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 75 · 3534/01
Source: “Calculate new reserve requirements using insurance rate standards.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: The sums follow published standards, but reserve levels are a firm's stated financial position, so a qualified person owns them.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Collecting insurance premium payments from clients
changing shape
The software now makes the first pass at insurance premium payments, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 75 · 3534/01
Source: “Collect insurance premium payments from clients.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Payment chasing runs largely on automated reminders, though some customers still need a conversation.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Collecting payments from customers
changing shape
The software now makes the first pass at payments, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 85 · 3534/02
Source: “Collect payments from customers.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Payment collection runs largely through systems, though customers who have not paid usually need a person to contact them.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Reviewing and analysing customer applications
changing shape
The software now makes the first pass at customer applications, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 85 · 3534/02
Source: “Review and analyse customer applications, seeking additional information when necessary, and making decisions on credit limits in line with regulatory and organizational requirements.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: The analysis is highly automatable, but setting someone's credit limit is a regulated decision an accountable person makes.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Arranging legal action against debtors
changing shape
The software now makes the first pass at legal action against debtors, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 80 · 3534/02
Source: “Arrange legal action against debtors.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Instructing solicitors is administrative here, since conducting the litigation is the lawyer's reserved work, and the paperwork is standard.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Monitoring performance of investments to align portfolios with risk goals
changing shape
The software now makes the first pass at performance of investments, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 85 · 3534/03
Source: “Monitor performance of investments to align portfolios with risk goals.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Portfolio monitoring is largely automated reporting, but acting on it against risk limits is a regulated responsibility.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Implementing security valuation policies in financial operations
changing shape
The software now makes the first pass at security valuation policies, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 75 · 3534/03
Source: “Implement security valuation policies in financial operations.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Applying a valuation policy consistently is rule-following, but the firm's stated valuations need a responsible owner.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Verifying regulatory compliance of transaction reporting
changing shape
The software now makes the first pass at regulatory compliance of transaction, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 75 · 3534/03
Source: “Verify regulatory compliance of transaction reporting.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Checking reports against reporting rules is systematic, but a named accountable person at the bank must stand behind the result.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Communicating with businesses, investors and the public to facilitate operations
changing shape
The software now makes the first pass at businesses, investors and the public, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 60 · 3534/02
Source: “Communicate with businesses, investors, and the public to facilitate operations.” (UK task statement)
How this row was scored
Exposure score: 53 out of 100 (46–60 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: AI drafts the communications well, though investors expect a named person behind them.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Preparing reports on internal investigations
changing shape
The software now makes the first pass at reports, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 75 · 3534/02
Source: “Prepare reports on internal investigations, losses, or regulatory violations.” (UK task statement)
How this row was scored
Exposure score: 51 out of 100 (44–58 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; someone qualified has to answer for it.
The rating behind it: Writing up losses or rule breaches uses internal facts that stay private, and a responsible officer must stand behind the report.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Identifying group or individual target investors for a specific fund
changing shape
The software now makes the first pass at group, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 70 · 3534/03
Source: “Identify group or individual target investors for a specific fund.” (UK task statement)
How this row was scored
Exposure score: 50 out of 100 (43–57 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; mistakes that are cheap to catch.
The rating behind it: Building a target list from public and internal data is research work, though the useful contacts are often private.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Assessing customer records and recommending payment plans
changing shape
The software now makes the first pass at customer records, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 75 · 3534/02
Source: “Assess customer records and recommend payment plans, based on earnings, savings data, payment history, and purchase activity.” (UK task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Affordability rules require a competent lender employee to set a repayment plan, though the analysis behind it is standard and automatable.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Reviewing offering documents or marketing materials to ensure regulatory compliance
changing shape
The software now makes the first pass at documents, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 75 · 3534/03
Source: “Review offering documents or marketing materials to ensure regulatory compliance.” (UK task statement)
How this row was scored
Exposure score: 47 out of 100 (40–54 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Approving financial promotions is restricted to authorised firms, so a permitted person must sign off even where software checks the wording.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 3/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Guiding policyholders on how to proceed with the claim
changing shape
The software now makes the first pass at policyholders, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 90 · 3534/01
Source: “Guide policyholders on how to proceed with the claim.” (UK task statement)
How this row was scored
Exposure score: 46 out of 100 (39–53 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: The wording is easy to generate, but claimants are often upset and want a person walking them through it.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Directing and coordinating risk and insurance programmes to control risks and losses
changing shape
The software now makes the first pass at risk, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 75 · 3534/02
Source: “Direct and coordinate risk and insurance programmes to control risks and losses.” (UK task statement)
How this row was scored
Exposure score: 43 out of 100 (36–50 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Running an insurance and risk programme means directing people and owning decisions, though the underlying analysis is well documented.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Identifying opportunities for performance improvement and taking ownership of specific changes that impact the role
changing shape
The software now makes the first pass at opportunities, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 60 · 3534/02
Source: “Identify opportunities for performance improvement and take ownership of specific changes that impact the role.” (UK task statement)
How this row was scored
Exposure score: 43 out of 100 (36–50 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: Spotting improvements can be drafted from data, but owning and driving the change through is a person's job.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Attending investment briefings to stay informed about relevant investment markets
changing shape
The software now makes the first pass at investment briefings, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 85 · 3534/03
Source: “Attend investment briefings to stay informed about relevant investment markets.” (UK task statement)
How this row was scored
Exposure score: 43 out of 100 (36–50 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Briefing content can be read and summarised automatically, but attending in person is partly about being in the room.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Ensuring compliance with legal changes to optimise pension fund performance
changing shape
The software now makes the first pass at compliance, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 75 · 3534/03
Source: “Ensure compliance with legal changes to optimise pension fund performance.” (UK task statement)
How this row was scored
Exposure score: 43 out of 100 (36–50 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Tracking legal changes is easy; deciding how a pension scheme responds carries accountability a qualified person holds.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing for and responding to regulatory enquiries
changing shape
The software now makes the first pass at this work, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 75 · 3534/03
Source: “Prepare for and respond to regulatory enquiries.” (UK task statement)
How this row was scored
Exposure score: 43 out of 100 (36–50 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; someone qualified has to answer for it.
The rating behind it: Drafting the response is straightforward, but what a firm tells its regulator has to be owned by a senior person.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Taking calls from clients to provide customer service and obtain information on claims
changing shape
The software now makes the first pass at calls, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 85 · 3534/01
Source: “Take calls from clients to provide customer service and obtain information on claims.” (UK task statement)
How this row was scored
Exposure score: 40 out of 100 (33–47 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Live calls from people mid-claim need someone who can hear the tone and respond, not just retrieve the file.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Evaluating staff performance
changing shape
The software now makes the first pass at staff performance, but the part that matters is a person saying it and standing behind it. So the job becomes checking and deciding rather than producing.
importance 60 · 3534/03
Source: “Evaluate staff performance.” (UK task statement)
How this row was scored
Exposure score: 40 out of 100 (33–47 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Performance data can be summarised automatically, but appraising someone's work is a conversation between people.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Communicating effectively with customers, suppliers and colleagues
staying human
The value here is that a specific person handles customers, suppliers and colleagues and stands behind it. That is earned, not computed.
importance 70 · 3534/02
Source: “Communicate effectively with customers, suppliers and colleagues.” (UK task statement)
How this row was scored
Exposure score: 39 out of 100 (32–46 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Routine messages draft easily, but working relationships with customers and suppliers are built by people.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Presenting investment information, such as product risks, fees or fund performance statistics
staying human
The rules require a named, qualified person to answer for investment information, and that person cannot be a piece of software.
importance 80 · 3534/03
Source: “Present investment information, such as product risks, fees, or fund performance statistics.” (UK task statement)
How this row was scored
Exposure score: 39 out of 100 (32–46 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: The risk, fee and performance material is easy to produce, but regulated selling talk stays with licensed people.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Selecting specific investments or investment mixes for purchase by an investment fund
staying human
The rules require a named, qualified person to answer for specific investments, and that person cannot be a piece of software.
importance 85 · 3534/03
Source: “Select specific investments or investment mixes for purchase by an investment fund.” (UK task statement)
How this row was scored
Exposure score: 36 out of 100 (29–43 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Models can propose holdings, but choosing what a fund buys is a decision a licensed manager must own.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 3/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Resolving complex issues within and across departments
staying human
The value here is that a specific person handles complex issues and stands behind it. That is earned, not computed.
importance 65 · 3534/03
Source: “Resolving complex issues within and across departments.” (UK task statement)
How this row was scored
Exposure score: 35 out of 100 (28–42 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Sorting out a tangle between departments depends on knowing the people involved and getting them to move.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Recruiting new employees to support investment activities
staying human
The value here is that a specific person handles new employees and stands behind it. That is earned, not computed.
importance 60 · 3534/03
Source: “Recruit new employees to support investment activities.” (UK task statement)
How this row was scored
Exposure score: 35 out of 100 (28–42 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Sifting applications is automatable, but hiring decisions rest on meeting candidates and judging fit.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Developing strategies to promote business with company officials
staying human
The value here is that a specific person handles strategies and stands behind it. That is earned, not computed.
importance 75 · 3534/04
Source: “Develop strategies to promote business with company officials.” (UK task statement)
How this row was scored
Exposure score: 35 out of 100 (28–42 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Winning support from company officials depends on relationships.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Conferring with credit association and other business representatives to exchange credit information
staying human
The value here is that a specific person handles credit association and stands behind it. That is earned, not computed.
importance 75 · 3534/02
Source: “Confer with credit association and other business representatives to exchange credit information.” (UK task statement)
How this row was scored
Exposure score: 31 out of 100 (24–38 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Exchanging credit information with other firms happens through conversations between people who know each other, using facts that stay private.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Resolving complex customer needs and maintaining customer satisfaction
staying human
The value here is that a specific person handles complex customer needs and stands behind it. That is earned, not computed.
importance 70 · 3534/02
Source: “Resolve complex customer needs and maintain customer satisfaction.” (UK task statement)
How this row was scored
Exposure score: 31 out of 100 (24–38 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Untangling a complicated customer problem usually means judgement calls and a person the customer will listen to.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Delivering high-quality products and services to customers using various channels
staying human
The value here is that a specific person handles high-quality products and stands behind it. That is earned, not computed.
importance 65 · 3534/02
Source: “Deliver high-quality products and services to customers using various channels such as face-to-face, telephone, digital, and written communication.” (UK task statement)
How this row was scored
Exposure score: 31 out of 100 (24–38 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Serving customers face to face as well as on screen means part of the job needs someone actually there.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Managing investment funds to maximise return on client investments
staying human
The rules require a named, qualified person to answer for investment funds, and that person cannot be a piece of software.
importance 90 · 3534/03
Source: “Manage investment funds to maximise return on client investments.” (UK task statement)
How this row was scored
Exposure score: 31 out of 100 (27–35 allowing for uncertainty): low exposure, high confidence.
Why it sits in this group: the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Running a fund is a regulated activity, so an authorised person has to be the one making the calls.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 3/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Calling customers to collect payment on overdue accounts
staying human
The rules require a named, qualified person to answer for customers, and that person cannot be a piece of software.
importance 85 · 3534/02
Source: “Call customers to collect payment on overdue accounts.” (UK task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Collections calls are governed by conduct rules requiring competent staff, and people in arrears respond to a person, not a script.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Resolving complaints and verifying financial and crediting transactions by consulting with customers
staying human
The rules require a named, qualified person to answer for complaints, and that person cannot be a piece of software.
importance 75 · 3534/02
Source: “Resolve complaints and verify financial and credit transactions by consulting with customers.” (UK task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Complaint rules require a competent bank employee to handle the case, and customers expect a real conversation, though software drafts the written response.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Attracting new business by identifying and exploiting opportunities in the local market
staying human
The value here is that a specific person handles new business and stands behind it. That is earned, not computed.
importance 70 · 3534/02
Source: “Attract new business by identifying and exploiting opportunities in the local market.” (UK task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Winning local business rests on relationships and a presence in the area.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Coordinating the activities of employees in various departments of establishments
staying human
The value here is that a specific person handles the activities of employees and stands behind it. That is earned, not computed.
importance 70 · 3534/02
Source: “Coordinate the activities of employees in various departments of establishments.” (UK task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Getting different departments to pull together depends on working relationships across the business.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Speaking with customers to organise repayments
staying human
The rules require a named, qualified person to answer for customers, and that person cannot be a piece of software.
importance 70 · 3534/02
Source: “Speak with customers to organise repayments.” (UK task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Conduct rules require competent staff to agree repayment terms, and customers in difficulty need a person who can respond.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Continuouslying seek feedback, reflect on performance and making timely changes to improve personal effectiveness
staying human
The ratings behind this row put seek feedback, reflect well outside what today's tools can do on their own.
importance 60 · 3534/02
Source: “Continuously seek feedback, reflect on performance, and make timely changes to improve personal effectiveness.” (UK task statement)
How this row was scored
Exposure score: 28 out of 100 (24–32 allowing for uncertainty): low exposure, high confidence.
Why it sits in this group: the five ratings behind the score, with no single dominant reason.
The rating behind it: Reflecting on your own performance and changing how you work is something only the person doing the job can do.
The five ratings: output a model can produce 1/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Collaborating with the wider organization
staying human
The value here is that a specific person handles the wider organization and stands behind it. That is earned, not computed.
importance 60 · 3534/02
Source: “Collaborate with the wider organization, team, communities, and external partners to achieve business objectives.” (UK task statement)
How this row was scored
Exposure score: 23 out of 100 (16–30 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Working with partners and communities towards shared goals rests on relationships rather than documents.
The five ratings: output a model can produce 1/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Directing activities of accounting or operations departments
staying human
The value here is that a specific person handles activities and stands behind it. That is earned, not computed.
importance 70 · 3534/03
Source: “Direct activities of accounting or operations departments.” (UK task statement)
How this row was scored
Exposure score: 23 out of 100 (16–30 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Directing accounting and operations teams means leading the specific people who do the work.
The five ratings: output a model can produce 1/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Negotiating with customers to identify mutually acceptable solutions to credit and debt issues within organizational and compliance guidelines
staying human
The rules require a named, qualified person to answer for customers, and that person cannot be a piece of software.
importance 85 · 3534/02
Source: “Negotiate with customers to identify mutually acceptable solutions to credit and debt issues within organizational and compliance guidelines.” (UK task statement)
How this row was scored
Exposure score: 21 out of 100 (14–28 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Working out an affordable arrangement with someone in debt turns on a live conversation and on treating them fairly.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Determining investment goals with investors
staying human
The rules require a named, qualified person to answer for investment goals, and that person cannot be a piece of software.
importance 90 · 3534/03
Source: “Determine investment goals with investors.” (UK task statement)
How this row was scored
Exposure score: 21 out of 100 (14–28 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Agreeing what someone wants their money to achieve depends on a trusted conversation and on regulated advice standards.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Guiding clients on business transactions
staying human
The rules require a named, qualified person to answer for clients, and that person cannot be a piece of software.
importance 85 · 3534/03, 3534/04
Source: “Guide clients on business transactions, including mergers and acquisitions.” (UK task statement)
How this row was scored
Exposure score: 17 out of 100 (10–24 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Only an authorised firm may guide clients through a merger, and the mandate rests on trust plus deal facts that stay private.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 3/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Facilitating the relationship between managers and employees
staying human
The value here is that a specific person handles the relationship and stands behind it. That is earned, not computed.
importance 60 · 3534/04
Source: “Facilitate the relationship between managers and employees.” (UK task statement)
How this row was scored
Exposure score: 14 out of 100 (7–21 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Standing between managers and staff works only if both sides trust the individual doing it.
The five ratings: output a model can produce 1/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 1/4.
Providing leadership and development for other professional staff
staying human
The value here is that a specific person handles leadership and stands behind it. That is earned, not computed.
importance 70 · 3534/03
Source: “Provide leadership and development for other professional staff.” (UK task statement)
How this row was scored
Exposure score: 13 out of 100 (6–20 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Developing professional staff depends on a relationship between the leader and each person.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Establishing and maintaining effective and professional relationships with clients and other stakeholders
staying human
The value here is that a specific person handles effective and stands behind it. That is earned, not computed.
importance 95 · 3534/04
Source: “Establish and maintain effective and professional relationships with clients and other stakeholders.” (UK task statement)
How this row was scored
Exposure score: 10 out of 100 (6–14 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: A working relationship with a client is built by a person over time and cannot be handed to software.
The five ratings: output a model can produce 1/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 4/4 · how much data exists 1/4.
Using these relationships to develop new business opportunities
staying human
The value here is that a specific person handles these relationships and stands behind it. That is earned, not computed.
importance 85 · 3534/04
Source: “Use these relationships to develop new business opportunities.” (UK task statement)
How this row was scored
Exposure score: 10 out of 100 (6–14 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Turning existing relationships into new business depends on the trust those people place in a particular individual.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 1/4.
Facilitating the relationship between different branch offices
staying human
The value here is that a specific person handles the relationship and stands behind it. That is earned, not computed.
importance 80 · 3534/04
Source: “Facilitate the relationship between different branch offices.” (UK task statement)
How this row was scored
Exposure score: 10 out of 100 (3–17 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Keeping different offices working together is about personal relationships built up over time.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 1/4.

What this job pays, and how many people do it

Median pay: £49,000a year, before tax, the middle of the range, so half earn more and half earn less.ashe-t14, 2025 · ASHE 2025 provisional (reference April 2025)Provisional, because the ONS revises this figure in the autumn.
How we know this
Source: ashe-t14
Reference period: ASHE 2025 provisional (reference April 2025)
Rounding: Shown to the nearest £100. The exact published figure is in the downloadable dataset. We do not render pounds the survey cannot support.
People doing this job: 140,400in the UK, 2026.nomis-aps · Apr 2025-Mar 2026 (latest APS 12-month period)This headcount comes from a survey, not a census, so treat it as a good estimate rather than an exact count.

What is deliberately not here: a forecast of how many of these jobs exist in ten years. Where an official projection exists for a market we publish it with its vintage; where it does not, we leave the space empty rather than borrow the other country’s number.

Why this is shifting

The reason is boringly specific. Most of what is shifting here is reading one thing and writing another: financial performance of clients in, a record out. The rows above are exactly that shape: assessing financial performance of clients through detailed analysis and interpretation of financial data and staying informed about developments in clients' industries to provide tailored advice. What it cannot do is be answerable: tailored financial advice needs a named person the rules will accept, and software cannot be that person. Which is why this page talks about your tasks changing, not your job ending.

Your move

Over a pint: what I’d tell you if you were my friend

The exposed part of your job is the biggest part, and I am not going to dress that up: assessing financial performance of clients through detailed analysis and interpretation of financial data is work today's tools do quickly and cheaply, and that is not coming back.

So, given all that: 52% of this job's task weight sits in rows the software is already learning, 23% in rows that change shape rather than disappear, and 25% in rows it is nowhere near. That is the position, measured across 118 scored tasks. It is not a forecast about you.

What you have that the software does not is offering tailored financial advice to clients based on their individual financial situations, plus the years of knowing when something looks wrong before you can say why. That is the raw material for everything below.

This week: one thing

Sit on the machine's side of the desk. Pick one real piece of financial performance of clients you would normally do yourself, let whatever software you already have take the first pass at it, and then go through what it produced and write down every single thing it got wrong. One evening this week. Do not fix anything yet. Just catch it.

What you end up holding: a written list of the machine’s mistakes, in your handwriting
How long it takes: an evening, or an hour if you pick one job rather than one client

If you can’t run software on your employer’s or your clients’ data: Do the same hunt on paper. Take one printed piece of financial performance of clients, work through it the way you always do, and mark every point where you made a call rather than followed a rule. Same evening, same list, nothing to log into and nobody to ask permission from. That list is the same artifact: it is the judgment written down.

Over the next 90 days

Change one sentence about what you do. Not on a CV. Out loud, to whoever pays you. From “my job is assessing financial performance of clients through detailed analysis and interpretation of financial data” to “I check what the software does and tell you what it means.” Your error list from this week is what makes that sentence true instead of a claim, so use it: show it once, to one person, inside the next ninety days. Same skills, priced as judgment rather than as typing.

Over the next 12 months

Walk toward the end of this job that answers for things, and get it recognised. Pick the one part of offering tailored financial advice to clients based on their individual financial situations you are already best at, and spend the year making it formal: a qualification, a named responsibility, a specialism people ask for by name. Price it honestly: that is evenings, it is months rather than weeks, and the seats are competitive because everyone in your position is looking at the same door. Before you pay for anything, spend an hour with National Careers Service. It is free and government-funded, and it is listed below with the rest of the free routes.

The roads out of here, and why I am not sending you down them

I looked at the obvious moves out of this job, and here is what I found.

I checked the 12 nearest UK occupations to financial accounts managers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was brokers: only about 12% of its durable work is work you already do. Your own job splits about 52/48: that share of the list sits in the top exposure band and the rest does not. On this evidence the honest move is inside the job rather than out of it. Become the person who owns “establish and maintain effective and professional relationships with clients and other stakeholders”, and let the exposed end go.

How that was checked: this job was compared against all 412 UK occupations in this release on their official task statements, and the 12 nearest were examined one by one. A move that turns on an industry, an employer or a qualification rather than on the work itself will not show up in a check like that. And this release carries no licence register, so anything you are weighing needs that looked up separately.

3 moves I checked and rejected

These are the obvious-looking jumps. They are here with their reasons rather than quietly dropped, because the ones that fail are worth knowing about. It is one less thing to turn over at night.

Brokers
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “guide policyholders on how to proceed with the claim”. Across the whole of both lists that adds up to about 12% of the work in that job the software is not taking.
Why I am not recommending it: You would be starting most of it from nothing: about 12% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on.
Look at that job’s page anyway →
Pensions and insurance clerks and assistants
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “guide policyholders on how to proceed with the claim”. Across the whole of both lists that adds up to about 11% of the work in that job the software is not taking.
Why I am not recommending it: You would be starting most of it from nothing: about 11% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on. I will not move you off one melting floe onto another: 65% of its own task list already scores in the top exposure band (65/100 in this release), so the same software is eating it. It is a pay cut, in those words: £30,269 against your £48,980, 38.2% less (ASHE Table 14.7a, 2025 provisional (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →
Financial managers and directors
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “offer tailored financial advice to clients based on their individual financial situations”. Across the whole of both lists that adds up to about 11% of the work in that job the software is not taking.
Why I am not recommending it: You would be starting most of it from nothing: about 11% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on.
Look at that job’s page anyway →

What I’d stop worrying about

A friend tells you what not to spend fear on. This is that list.

The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 52% of its task weight, across 118 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
“It’s too late for me to become something else”
You are not starting from zero, and the page shows why: offering tailored financial advice to clients based on their individual financial situations is work the software cannot do and you already do it. The move above is a repricing of what you know, not a new career. Nobody who has just left college has that.
“I should learn to code”
Almost certainly not. The value in your job is moving toward checking, deciding and answering for the output, not toward writing the software. A weekend of Python will not change your position; the error list from this week will.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.

If you run a team doing this job

If you run a team doing this job, the conversation you owe them is the one on this page, and sooner than feels comfortable. Show them the ledger rather than a reassurance: the rows moving toward the software are assessing financial performance of clients through detailed analysis and interpretation of financial data, and the rows that are not are where you want your people visible. Ask each of them to do the this-week move and bring the list to your next one-to-one. It turns a rumour into a piece of work, and it tells you which parts of your team's week are actually at stake. And say the thing out loud that a team lead usually leaves unsaid: a shrinking team is your exposure too, so do the move yourself as well.

You are reading the United Kingdom figures

The United States splits this work across more than one official group, of which Credit Analysts is the closest. The pay and employment figures are not directly comparable, and we do not average them together.

Switch to the United States page →partial match

The other groups this work is counted across:

In US official statistics this job is counted as Credit Analysts, Bookkeeping, Accounting, and Auditing Clerks and Insurance Claims and Policy Processing Clerks. Pay is shown separately for each of those groups (medians cannot be averaged together), while the task list and the scores on this page are for this group only.

Your route through this

Two honest options, and no deadline on either

Free, and complete

The moves above cost nothing. These are the real services that go with them: public, government-funded, and free at the point of use. Nothing on this page is behind an email address or a payment.

In England:
National Careers Service
A free hour with a government-funded careers adviser is worth more than another evening of reading. In England that's the National Careers Service.
Free, government-funded
- Discover your skills and careers (the skills assessment)
In England:
National Careers Service - Find a course
Search what's actually running near you before you spend anything.
Free to search; individual courses vary
In England:
Free courses for jobs (Level 3 qualifications)
A free Level 3 qualification you already qualify for beats a paid course you don't need.
Free for eligible adults
In England:
Skills Bootcamps
Free, up to 16 weeks, and you get a job interview at the end. In England these are Skills Bootcamps - search what's running near you.
Free for eligible adults in England
- Skills Bootcamps - what they are and who can do them (DfE, Skills for Careers)
- Skills Bootcamps - JobHelp (DWP)
In Scotland:
My World of Work (Skills Development Scotland)
In Scotland it's My World of Work, from Skills Development Scotland.
Free, publicly funded
- Skills Development Scotland
In Wales:
Careers Wales
In Wales it's Careers Wales.
Free, Welsh Government-funded
In Northern Ireland:
Careers Service Northern Ireland
In Northern Ireland it's the Careers Service on nidirect.
Free, Department for the Economy-funded

A nearby route

There's no Space built for financial accounts managers yet.

Collab365 Spaces is built by the same people as this site. We find the problems that AI and automation are creating inside one kind of work, then solve them as short courses, briefings and Blueprints. Each Space is the community too, so the research and the people doing your job are in the same place.

What a Space actually is, in full

The closest match is Microsoft 365 Report Builders, a community for people who build business reports in Excel, Power Query and Power BI without a data team behind them. It overlaps with the part of your job that is growing: owning the reporting pack: where the numbers come from, what they mean, why they can be trusted. If that overlap isn't you, the free route below covers the same ground.

Try Microsoft 365 Report Builders free →

7 days free, no card needed. Explore up to 2 Spaces before you choose a plan: you pick a plan later, not now.

After the trial it is a paid community, and you get identical data either way. If the overlap above is not your job, the moves above cost nothing and stand on their own.

Noted, and thank you. We’ll email you if a Space for financial accounts managers launches. Nothing else.

That did not look like an email address, so nothing was saved. Have another go below.

We could not save that. The fault is ours, not yours, and your address was not stored. Please try again later.

No deadline on any of this. The page will still be here, and the data is refreshed on a published schedule rather than when someone wants a headline.

Questions people ask about this job

Will AI replace Financial accounts managers?: Not as a job, but it is already doing parts of the work. Across the 118 official task statements scored for Financial accounts managers (United Kingdom, SOC 3534), 52% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 59 out of 100 (range 53–65, band: partial). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.
Which tasks in “Financial accounts managers” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Enter insurance- and claims-related information into database systems” (93/100, very high); “Enter data into computer to adjust accounts” (93/100, very high); “Obtain computer printouts of cancelled insurance policies” (93/100, very high). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.
Which tasks in “Financial accounts managers” stay human?: About 25% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Facilitate the relationship between different branch offices” (10/100, minimal); “Use these relationships to develop new business opportunities” (10/100, minimal); “Establish and maintain effective and professional relationships with clients and other stakeholders” (10/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
What should someone working in “Financial accounts managers” do about AI?: Start from the ledger rather than the headline: 52% of this job's weighted core work is exposed, and roughly 25% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.
How is the AI exposure score for Financial accounts managers calculated?: Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 118 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

Where these numbers come from

About the data on this page

Provisional, because the ONS revises this figure in the autumn.
This headcount comes from a survey, not a census, so treat it as a good estimate rather than an exact count.
The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
30 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Task statements: gaisi-indexProcessing: catalogue-bridge → ssc-relatedness-weighting → task-scoring → score-aggregation
Task weights: gaisi-index (relatedness)
Scores: Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-05.
Pay and employment: ashe-t14 (ASHE 2025 provisional (reference April 2025))nomis-aps (Apr 2025-Mar 2026 (latest APS 12-month period))

Figures on this page come from release 2026-q4.1, published 2026-08-05. Every release keeps its own permanent address, so a figure you cite in March is still there, unchanged, in November.

The plain-English wording on this page is assembled directly from the task statements and the published ratings, not written by hand for this occupation. That is why it is specific, and it is also why we say so.

The routes and free resources further up are today’s, not the release’s (last reviewed 2026-08-05). A route is an offer, not a historical fact, so it moves on its own clock.

How we score a job Download this release Look up another job

Using these figures?

Cite this

Everything on this site is published under CC BY 4.0. Quote it, chart it, sell something built on it. Just say where it came from, and cite the dated release rather than the site, so the figure you quote stays checkable.

Plain text

Collab365 (2026). Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1 (methodVersion 2.0.0, promptVersion task_scoring_v1.0). https://futureproof.collab365.com/data/2026-q4.1. Licensed CC BY 4.0. Built with O*NET data (USDOL/ETA, CC BY 4.0); ONS data (Open Government Licence v3.0); GAISI task framework (arXiv:2507.22748, MIT); BLS data (public domain).

BibTeX

@misc{collab365futureproof2026q41,
  title        = {Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1},
  author       = {{Collab365}},
  year         = {2026},
  url          = {https://futureproof.collab365.com/data/2026-q4.1},
  note         = {Release 2026-q4.1, methodVersion 2.0.0, promptVersion task_scoring_v1.0, CC BY 4.0}
}

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https://futureproof.collab365.com/data/2026-q4.1

Data as of release 2026-q4.1, published 2026-08-05. Releases never change after publication; when the figures move, a new dated release is published beside this one and this one stays exactly where it is.