Will AI replace Financial and accounting technicians?

Not as a job, but it is already doing parts of the work. Across the 85 official task statements scored for Financial and accounting technicians (United Kingdom, SOC 3533), 76% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 67 out of 100 (range 61–72, band: high). 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 and accounting technicians” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Compose letters as part of office duties” (100/100, very high); “Keep up to date with developments in public sector financial and management accounting practices” (100/100, very high); “Check ledger balances and other monthly accounts” (88/100, 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 and accounting technicians” stay human?

About 13% 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: “Make bank deposits of cash receipts” (0/100, minimal); “Operate photocopiers as part of general office or clerical work” (0/100, minimal); “Handle cheque cashing for financial transactions” (7/100, 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 and accounting technicians” do about AI?

Start from the ledger rather than the headline: 76% of this job's weighted core work is exposed, and roughly 13% 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 and accounting technicians 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 85 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 and accounting technicians

assisting in preparing annual accounts, reconciling issued payrolls to bank statements and recording sales and receipts for financial tracking. If that's your week, this page is about your job.

The honest answer

Most tasks in this job are the kind AI has learned to do: preparing and submitting annual tax returns. The tasks, though, are not you.

Your move: three real directions from here ↓

Where the work sits, by task weight

shifting to AI: 76%
changing shape: 11%
staying human: 13%

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

Whole-job exposure score 67 out of 100 (61–72 allowing for uncertainty): high exposure, across 85 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 and accounting technicians 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 2026-08-05. Read the full method.

It would be a lie to soften that, and another lie to promise a rebuilt version of this job inside this job.

So the hope here is what you already carry: what you know about how this work actually gets done is real, and the moves below are built from it. The first step is down this page.

Your week, as this page understands it

Financial and accounting technicians work alongside accountants and other financial professionals in managing the financial affairs of organisations. The job title says “financial” or “accounting technicians”: officially one job, two names. The real job is the part underneath: supervising employees performing financial reporting. 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 and accounting technicians is not one task. It is 85 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is supervising employees performing financial reporting, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 76%
changing shape: 11%
staying human: 13%

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 2026-08-05. 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.

15 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

63 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.

Preparing and submitting annual tax returns
This is reading one thing and writing another: annual tax returns in, a record out. That is the shape today's tools are built for.
importance 80 · 3533/01, 3533/02
Source: “Prepare and submit annual tax returns.” (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: Return preparation is largely automated, but professional practice expects a qualified person in the loop before an annual return is filed.
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.
Assisting in preparing annual accounts
This is reading one thing and writing another: preparing annual accounts in, a record out. That is the shape today's tools are built for.
importance 95 · 3533/01
Source: “Assist in preparing annual 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: Assisting with annual accounts is explicitly preparatory work for a qualified accountant to finish, and the production is heavily automated.
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 figures, postings and documents for correct entry, mathematical accuracy and appropriate codes
This is reading one thing and writing another: figures, postings and documents in, a record out. That is the shape today's tools are built for.
importance 95 · 3533/01
Source: “Check figures, postings, and documents for correct entry, mathematical accuracy, and appropriate codes.” (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 entries, sums and codes is systematic verification software performs more consistently than people, with accounts reviewed later.
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.
Classifying and recording numerical and financial data in journals
This is reading one thing and writing another: numerical in, a record out. That is the shape today's tools are built for.
importance 95 · 3533/01
Source: “Classify and record numerical and financial data in journals, ledgers, or computers.” (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: Classifying and recording financial entries is core bookkeeping already largely automated, with the resulting accounts reviewed.
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.

Changing shape

10 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.

Producing annual and monthly accounts
The software now makes the first pass at annual, 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 · 3533/01
Source: “Produce annual and monthly accounts.” (UK task statement)
How this row was scored
Exposure score: 56 out of 100 (52–60 allowing for uncertainty): partial 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: Software can build the accounts from the ledgers, but a qualified accountant is normally in the loop before they go out.
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.
Coordinating and directing financial planning activities of an organisation
The software now makes the first pass at financial planning activities of an organisation, 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 · 3533/02
Source: “Coordinate and direct financial planning activities of an organisation.” (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: Financial plans can be drafted, but co-ordinating and directing the people who produce them needs a person.
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.
Coordinating the development of budgetary control systems
The software now makes the first pass at the development of budgetary control systems, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 85 · 3533/02
Source: “Coordinate the development of budgetary control systems.” (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: Budget control frameworks are well documented, so software drafts them, but agreeing how a particular organisation will work takes people.
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.

Staying human

12 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.

Leading staff training and development in budgeting and financial management areas
The value here is that a specific person handles staff and stands behind it. That is earned, not computed.
importance 85 · 3533/02
Source: “Lead staff training and development in budgeting and financial management areas.” (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: Training materials are quick to produce, but leading staff development happens in the room with them.
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.
Supervising employees performing financial reporting
The value here is that a specific person handles this work and stands behind it. That is earned, not computed.
importance 85 · 3533/02
Source: “Supervise employees performing financial reporting, accounting, and billing duties.” (UK task statement)
How this row was scored
Exposure score: 12 out of 100 (5–19 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: Supervising a finance team means directing and supporting people day to day, which rests on presence and personal knowledge.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Adhering to and supporting
The value here is that a specific person handles this work and stands behind it. That is earned, not computed.
importance 80 · 3533/01
Source: “Adhere to, and support others to adhere to, relevant legislation and company vision, mission, values, policies and procedures.” (UK task statement)
How this row was scored
Exposure score: 28 out of 100 (21–35 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: Rules can be summarised easily, but following them and helping colleagues do so is a person's job.
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 3/4.

Show the other 75 tasks

Composing letters as part of office duties
shifting to AI
This is reading one thing and writing another: letters in, a record out. That is the shape today's tools are built for.
importance 60 · 3533/01
Source: “Compose letters as part of office duties.” (UK task statement)
How this row was scored
Exposure score: 100 out of 100 (96–100 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: Routine office correspondence is exactly the kind of standard writing software produces at professional quality, with no approval needed.
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 4/4.
Keeping up to date with developments in public sector financial and management accounting practices
shifting to AI
This is reading one thing and writing another: to date in, a record out. That is the shape today's tools are built for.
importance 75 · 3533/02
Source: “Keep up to date with developments in public sector financial and management accounting practices.” (UK task statement)
How this row was scored
Exposure score: 100 out of 100 (93–100 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: Professional accounting developments are published openly and software summarises them thoroughly, with no approval or meeting involved.
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 4/4.
Checking ledger balances and other monthly accounts
shifting to AI
This is reading one thing and writing another: ledger balances in, a record out. That is the shape today's tools are built for.
importance 90 · 3533/01
Source: “Check ledger balances and other monthly accounts.” (UK task statement)
How this row was scored
Exposure score: 88 out of 100 (84–92 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 balances against source records is exactly the kind of rule-based checking software already does very well.
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 4/4.
Producing financial forecasts
shifting to AI
This is reading one thing and writing another: financial forecasts in, a record out. That is the shape today's tools are built for.
importance 85 · 3533/02
Source: “Produce financial forecasts.” (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: Forecasting from historic figures suits software well, though the assumptions behind it are a judgement call.
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.
Operating computerised accounting systems to manage financial records
shifting to AI
This is reading one thing and writing another: computerised accounting systems in, a record out. That is the shape today's tools are built for.
importance 95 · 3533/01
Source: “Operate computerised accounting systems to manage financial records.” (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: Running computerised accounting systems is precisely what that software already does, with the resulting records reviewed.
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 invoices for financial transactions and record-keeping
shifting to AI
This is reading one thing and writing another: invoices in, a record out. That is the shape today's tools are built for.
importance 95 · 3533/01
Source: “Process invoices for financial transactions and record-keeping.” (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: Invoice processing is highly standardised and already heavily automated, with the resulting figures 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.
Calculating bills, invoices and financial statements according to established procedures
shifting to AI
This is reading one thing and writing another: bills, invoices and financial statements in, a record out. That is the shape today's tools are built for.
importance 90 · 3533/01
Source: “Calculate bills, invoices, and financial statements according to established procedures.” (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: Billing and statement calculations follow set procedures against ledger data, which software does reliably before accounts review.
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.
Compiling accounting and auditing tables for accounts payable and receivable
shifting to AI
This is reading one thing and writing another: tables in, a record out. That is the shape today's tools are built for.
importance 90 · 3533/01
Source: “Compile accounting and auditing tables for accounts payable and receivable.” (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: Compiling payables and receivables tables is routine reporting from the ledger, produced reliably by software and reviewed later.
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.
Crediting accounts on computer spreadsheets and databases using specialised accounting software
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 90 · 3533/01
Source: “Credit accounts on computer spreadsheets and databases using specialised accounting software.” (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: Posting credits through accounting software is routine automated processing, with the resulting balances 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.
Performing basic bookkeeping duties for financial record maintenance
shifting to AI
This is reading one thing and writing another: basic bookkeeping duties in, a record out. That is the shape today's tools are built for.
importance 90 · 3533/01
Source: “Perform basic bookkeeping duties for financial record maintenance.” (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: Everyday bookkeeping is highly standardised and largely automated already, with a qualified accountant reviewing the resulting figures.
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 trial balances of books
shifting to AI
This is reading one thing and writing another: trial balances of books in, a record out. That is the shape today's tools are built for.
importance 90 · 3533/01
Source: “Prepare trial balances of books.” (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: A trial balance falls straight out of the ledger, so software produces it; the accounts it feeds are reviewed later.
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.
Resolving discrepancies in accounting records
shifting to AI
This is reading one thing and writing another: discrepancies in, a record out. That is the shape today's tools are built for.
importance 90 · 3533/01
Source: “Resolve discrepancies in accounting records.” (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: Tracing and fixing discrepancies is systematic reconciliation software performs thoroughly, with the corrected accounts reviewed.
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.
Summarising recorded data to compile and maintain financial records
shifting to AI
This is reading one thing and writing another: recorded data in, a record out. That is the shape today's tools are built for.
importance 90 · 3533/01
Source: “Summarise recorded data to compile and maintain financial records.” (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: Summarising records into financial statements is routine reporting from the ledger, produced reliably by software and reviewed later.
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 amounts due, including interest charges and balances
shifting to AI
This is reading one thing and writing another: amounts due, including interest charges and balances in, a record out. That is the shape today's tools are built for.
importance 85 · 3533/01
Source: “Calculate amounts due, including interest charges and balances.” (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: Interest and balance calculations are fixed formulas on stored data, done reliably by software and checked 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.
Calculating statutory contributions like pensions and National Insurance
shifting to AI
This is reading one thing and writing another: statutory contributions like pensions in, a record out. That is the shape today's tools are built for.
importance 85 · 3533/01
Source: “Calculate statutory contributions like pensions and National Insurance.” (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: National Insurance and pension rates are published and the sums are fixed, so payroll software calculates them; an accountant reviews the payroll.
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.
Compiling budget data based on estimated revenues
shifting to AI
This is reading one thing and writing another: budget data in, a record out. That is the shape today's tools are built for.
importance 85 · 3533/01
Source: “Compile budget data based on estimated revenues, expenses, and previous budgets.” (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: Building budget data from past figures and estimates is routine analysis on ledger data, produced well by software and reviewed.
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.
Completing vat returns
shifting to AI
This is reading one thing and writing another: vat returns in, a record out. That is the shape today's tools are built for.
importance 85 · 3533/01
Source: “Complete vat returns.” (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: VAT returns follow published rules and come straight from accounting exports, so software prepares them, with the figures reviewed.
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.
Matching order forms with invoices
shifting to AI
This is reading one thing and writing another: order forms in, a record out. That is the shape today's tools are built for.
importance 85 · 3533/01
Source: “Match order forms with invoices.” (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: Matching orders to invoices is rules-based comparison already automated in most finance teams, with exceptions reviewed.
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.
Paying invoices
shifting to AI
This is reading one thing and writing another: invoices in, a record out. That is the shape today's tools are built for.
importance 85 · 3533/01
Source: “Pay invoices.” (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: Paying invoices from approved records is routine processing software already does, with the payment run checked elsewhere.
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 reports on business activities
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 85 · 3533/01
Source: “Prepare reports on business activities, expenses, and budgets.” (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: Activity, expense and budget reports come out of the accounting system, so software writes them, with managers reviewing.
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.
Reconciling issued payrolls to bank statements
shifting to AI
This is reading one thing and writing another: issued payrolls in, a record out. That is the shape today's tools are built for.
importance 85 · 3533/01
Source: “Reconcile issued payrolls to bank statements.” (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: Matching payroll runs to bank statements is classic reconciliation that software does thoroughly, with the accounts reviewed later.
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.
Recording sales and receipts for financial tracking
shifting to AI
This is reading one thing and writing another: sales in, a record out. That is the shape today's tools are built for.
importance 85 · 3533/01
Source: “Record sales and receipts for financial tracking.” (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: Recording sales and receipts is routine data work, though paper receipts still need someone to capture them.
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 completed tax forms, workers' compensation forms, pension contribution forms and other government documents
shifting to AI
This is reading one thing and writing another: completed tax forms, workers' compensation forms in, a record out. That is the shape today's tools are built for.
importance 85 · 3533/01
Source: “Submit completed tax forms, workers' compensation forms, pension contribution forms, and other government documents.” (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: Submitting completed statutory forms is routine filing against published rules, with the figures already checked by an accountant.
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.
Documenting budget data for reference and analysis
shifting to AI
This is reading one thing and writing another: budget data in, a record out. That is the shape today's tools are built for.
importance 80 · 3533/01
Source: “Document budget data for reference and analysis.” (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: Budget figures come straight from the accounting system, so software documents them reliably; the finished accounts are still reviewed by a qualified accountant.
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.
Monitoring loans and accounts to ensure payments are up to date
shifting to AI
This is reading one thing and writing another: loans in, a record out. That is the shape today's tools are built for.
importance 80 · 3533/01
Source: “Monitor loans and accounts to ensure payments are up to date.” (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: Monitoring accounts for missed payments is automated alerting against stored data, with follow-up action decided 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.
Recording the necessary information from matched order forms and invoices
shifting to AI
This is reading one thing and writing another: the necessary information in, a record out. That is the shape today's tools are built for.
importance 80 · 3533/01
Source: “Record the necessary information from matched order forms and invoices.” (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: Copying agreed details from matched paperwork into records is exactly the routine capture software handles, with later checks on 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.
Calculating costs of materials, overheads and other expenses from estimates and price lists
shifting to AI
This is reading one thing and writing another: costs of materials, overheads and other expenses in, a record out. That is the shape today's tools are built for.
importance 75 · 3533/01
Source: “Calculate costs of materials, overheads, and other expenses from estimates and price lists.” (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: Costing from price lists and estimates is arithmetic against stored data, which software does reliably before an accountant reviews 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.
Determining discounts, equity and principal as part of financial calculations
shifting to AI
This is reading one thing and writing another: discounts, equity and principal in, a record out. That is the shape today's tools are built for.
importance 75 · 3533/01
Source: “Determine discounts, equity, and principal as part of financial calculations.” (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: Discounts, equity and principal are fixed calculations on stored figures, done reliably by software and checked 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.
Filing expense account reports for financial accountability
shifting to AI
This is reading one thing and writing another: expense account reports in, a record out. That is the shape today's tools are built for.
importance 70 · 3533/01
Source: “File expense account reports for financial accountability.” (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: Expense reports follow a fixed format and the data is already in the system; the accounts are checked further along.
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.
Operating calculators for financial calculations and record-keeping
shifting to AI
This is reading one thing and writing another: calculators in, a record out. That is the shape today's tools are built for.
importance 70 · 3533/01
Source: “Operate calculators for financial calculations and record-keeping.” (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 calculation and record-keeping is exactly what accounting software already does at professional standard, checked later 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.
Generating purchase orders for required goods
shifting to AI
This is reading one thing and writing another: purchase orders in, a record out. That is the shape today's tools are built for.
importance 65 · 3533/01
Source: “Generate purchase orders for required goods.” (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: Raising purchase orders from approved requests is routine transaction processing software already handles, checked 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.
Producing product documentation and reports according to company policy
shifting to AI
This is reading one thing and writing another: product documentation in, a record out. That is the shape today's tools are built for.
importance 60 · 3533/01
Source: “Produce product documentation and reports according to company 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: Producing documentation to a set company format is standard writing software handles well, with review built into the process.
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 wages and deductions
shifting to AI
This is reading one thing and writing another: wages in, a record out. That is the shape today's tools are built for.
importance 85 · 3533/02
Source: “Calculate wages and deductions.” (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: Wage and deduction calculations follow published rules inside payroll software already, with the payroll checked before it runs.
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.
Establishing procedures for accounting activities to ensure financial accuracy and compliance
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 85 · 3533/02
Source: “Establish procedures for accounting activities to ensure financial accuracy and compliance.” (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: Accounting procedures are well documented, so software drafts clear processes for the organisation to adopt and review.
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 and analysing annual reports and financial statements using accepted accounting procedures
shifting to AI
This is reading one thing and writing another: annual reports in, a record out. That is the shape today's tools are built for.
importance 85 · 3533/02
Source: “Prepare and analyse annual reports and financial statements using accepted accounting procedures.” (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: Producing and analysing annual figures is largely automated, and as a technician the work goes to a qualified accountant to sign.
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 financial statements and accounts
shifting to AI
This is reading one thing and writing another: financial statements in, a record out. That is the shape today's tools are built for.
importance 85 · 3533/02
Source: “Prepare financial statements and accounts.” (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: As a technician the accounts are prepared for a qualified accountant to review and sign, and production itself is heavily automated.
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.
Authorising payment requests after logging
shifting to AI
This is reading one thing and writing another: payment requests in, a record out. That is the shape today's tools are built for.
importance 80 · 3533/02
Source: “Authorise payment requests after logging.” (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: Checking a payment request against logged approvals is routine control work software performs, with the authority itself delegated internally.
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.
Creating guidelines for cash and crediting management
shifting to AI
This is reading one thing and writing another: guidelines in, a record out. That is the shape today's tools are built for.
importance 80 · 3533/02
Source: “Create guidelines for cash and credit management.” (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: Cash and credit management guidance is well documented, so software drafts clear procedures for the organisation to adopt.
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 payments and obtaining credit authorisation for transactions
shifting to AI
This is reading one thing and writing another: payments in, a record out. That is the shape today's tools are built for.
importance 80 · 3533/02
Source: “Process payments and obtain credit authorisation for transactions.” (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: Payment processing and credit authorisation run through systems already, with the resulting entries checked 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.
Preparing financial information for external accountants to complete tax returns
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 75 · 3533/02
Source: “Prepare financial information for external accountants to complete tax returns.” (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: This work is explicitly a package for the outside accountant to finish, so the technician's part is preparation software does reliably.
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.
Accessing computerised financial information to answer general questions
shifting to AI
This is reading one thing and writing another: computerised financial information in, a record out. That is the shape today's tools are built for.
importance 90 · 3533/01
Source: “Access computerised financial information to answer general questions.” (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: Looking up figures and answering general questions is something systems already do instantly.
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.
Completing and submitting National Insurance contributions
shifting to AI
This is reading one thing and writing another: national insurance contributions in, a record out. That is the shape today's tools are built for.
importance 80 · 3533/01
Source: “Complete and submit National Insurance contributions.” (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; someone qualified has to answer for it.
The rating behind it: The calculations and submission are highly standardised, though a qualified person usually signs the figures off.
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 4/4.
Handling company expenses and payroll systems that pay wages and salaries
shifting to AI
This is reading one thing and writing another: company expenses in, a record out. That is the shape today's tools are built for.
importance 90 · 3533/01
Source: “Handling company expenses and payroll systems that pay wages and salaries.” (UK task statement)
How this row was scored
Exposure score: 72 out of 100 (68–76 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: Payroll and expenses run on clear rules and clean data, so most of the work can be produced automatically.
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 4/4.
Maintaining stock control to manage office supplies
shifting to AI
This is reading one thing and writing another: stock control in, a record out. That is the shape today's tools are built for.
importance 55 · 3533/01
Source: “Maintain stock control to manage office supplies.” (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; mistakes that are cheap to catch.
The rating behind it: Stock control is standard software work, with an occasional physical check of the cupboard.
The five ratings: output a model can produce 4/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Monitoring cash flow and reserve levels to ensure compliance with legal and regulatory requirements
shifting to AI
This is reading one thing and writing another: cash flow in, a record out. That is the shape today's tools are built for.
importance 80 · 3533/02
Source: “Monitor cash flow and reserve levels to ensure compliance with legal and regulatory requirements.” (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: Cash and reserve monitoring runs automatically on system data, but confirming regulatory compliance needs a responsible person to stand behind 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.
Generating reports for sector-specific regulators and certifying bodies
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 75 · 3533/02
Source: “Generate reports for sector-specific regulators and certifying bodies.” (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: Regulatory returns follow published formats drawn from system data, but a responsible person must stand behind what is submitted.
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.
Managing financial accounting, monitoring and reporting systems
shifting to AI
This is reading one thing and writing another: financial accounting, monitoring and reporting systems in, a record out. That is the shape today's tools are built for.
importance 95 · 3533/01
Source: “Manage financial accounting, monitoring and reporting systems.” (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: Running accounting and reporting systems is well-documented work software supports strongly, with the figures reviewed by finance leadership.
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.
Analysing financial information to develop plans for increasing profits or improving services
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 · 3533/02
Source: “Analyse financial information to develop plans for increasing profits or improving services.” (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: Analysing accounts for ways to improve profit is documented work software drafts, with managers deciding what to act on.
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.
Managing finances and controlling budgets to ensure accurate financial reporting and compliance
shifting to AI
This is reading one thing and writing another: finances in, a record out. That is the shape today's tools are built for.
importance 90 · 3533/02
Source: “Manage finances and control budgets to ensure accurate financial reporting and compliance.” (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: Managing budgets and reporting draws on system data software handles, though owning the numbers sits with finance leadership.
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.
Making funding recommendations
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 · 3533/02
Source: “Make funding recommendations.” (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: Funding recommendations rest on documented analysis software drafts well, but the decision maker further up owns the outcome.
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.
Determining depreciation rates for capitalised items
shifting to AI
This is reading one thing and writing another: depreciation rates in, a record out. That is the shape today's tools are built for.
importance 70 · 3533/02
Source: “Determine depreciation rates for capitalised items.” (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: Depreciation rules are published, but choosing useful lives for this firm's assets needs judgement a qualified accountant signs off.
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.
Staying informed about recent government policy decisions relevant to the job role
shifting to AI
It is the same call made over and over on informed, with a right answer to check it against. That is what a model is trained on.
importance 75 · 3533/02
Source: “Stay informed about recent government policy decisions relevant to the job role.” (UK task statement)
How this row was scored
Exposure score: 65 out of 100 (58–72 allowing for uncertainty): high 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: Government policy is published and easy to summarise, but staying genuinely current is something you do yourself.
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 0/4 · how much data exists 4/4.
Responding to telephone enquiries as part of administrative support
shifting to AI
This is reading one thing and writing another: telephone enquiries in, a record out. That is the shape today's tools are built for.
importance 50 · 3533/01
Source: “Respond to telephone enquiries as part of administrative support.” (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: Most routine enquiries can be answered automatically, though callers often want a person.
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.
Interpreting organisational policies and procedures to ensure compliance
shifting to AI
This is reading one thing and writing another: organisational policies in, a record out. That is the shape today's tools are built for.
importance 80 · 3533/02
Source: “Interpret organisational policies and procedures to ensure compliance.” (UK task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 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: Explaining what written policies mean in practice is something software does well from the documents.
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.
Logging transactions involving cash, cheques and vouchers
shifting to AI
This is reading one thing and writing another: transactions involving cash, cheques and vouchers in, a record out. That is the shape today's tools are built for.
importance 85 · 3533/01
Source: “Log transactions involving cash, cheques, and vouchers.” (UK task statement)
How this row was scored
Exposure score: 61 out of 100 (54–68 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: Logging cash, cheque and voucher transactions is routine capture, but the physical items must be handled before recording.
The five ratings: output a model can produce 4/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing and processing cheques for financial transactions
shifting to AI
This is reading one thing and writing another: cheques in, a record out. That is the shape today's tools are built for.
importance 85 · 3533/01
Source: “Prepare and process cheques for financial transactions.” (UK task statement)
How this row was scored
Exposure score: 61 out of 100 (54–68 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: Preparing cheque payments is routine, but cheques are physical items someone must produce and handle before they go out.
The five ratings: output a model can produce 4/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Verifying amounts and checking accuracy of deposit slips
shifting to AI
This is reading one thing and writing another: amounts in, a record out. That is the shape today's tools are built for.
importance 85 · 3533/01
Source: “Verify amounts and check accuracy of deposit slips.” (UK task statement)
How this row was scored
Exposure score: 61 out of 100 (54–68 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: Checking deposit slip amounts is straightforward verification, but the slips are physical documents somebody has to handle.
The five ratings: output a model can produce 4/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Managing the reimbursement of expenses
shifting to AI
This is reading one thing and writing another: the reimbursement of expenses in, a record out. That is the shape today's tools are built for.
importance 80 · 3533/01
Source: “Manage the reimbursement of expenses.” (UK task statement)
How this row was scored
Exposure score: 61 out of 100 (57–65 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: Expense rules are clear and checkable, so most claim processing can be handled automatically with occasional queries.
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 4/4.
Transferring details from paper records into computer systems
shifting to AI
This is reading one thing and writing another: details in, a record out. That is the shape today's tools are built for.
importance 70 · 3533/01
Source: “Transfer details from paper records into computer systems.” (UK task statement)
How this row was scored
Exposure score: 61 out of 100 (54–68 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: Scanning tools read paper records well, though someone must handle the documents, and the entries feed accounts checked later.
The five ratings: output a model can produce 4/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Filing documents as part of general office duties
changing shape
The software now makes the first pass at documents, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 50 · 3533/01
Source: “File documents as part of general office duties.” (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: Filing is largely electronic now, though paper records still need someone to handle them.
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 0/4 · how much data exists 3/4.
Evaluating investment of surpluses and making appropriate recommendations
changing shape
The software now makes the first pass at investment of surpluses, 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 80 · 3533/02
Source: “Evaluate investment of surpluses and make appropriate recommendations.” (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: Evaluating where to place surplus funds uses documented methods, but recommending investments expects a credentialed finance person in the loop.
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.
Managing employee insurance and benefits schemes
changing shape
The software now makes the first pass at employee insurance, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 80 · 3533/02
Source: “Manage employee insurance and benefits schemes, including creating budgets.” (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: Benefits scheme administration and budgeting are documented tasks software drafts, though scheme choices are agreed with people.
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.
Advising management on short-term financial objectives and policies
changing shape
The software now makes the first pass at management, 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 · 3533/02
Source: “Advise management on short-term financial objectives and policies.” (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: The analysis behind short-term financial advice is straightforward; persuading management to act on it is not.
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.
Recommending or authorising capital expenditures for acquisition of new equipment or property to increase efficiency and services
changing shape
The software now makes the first pass at capital expenditures, 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 · 3533/02
Source: “Recommend or authorise capital expenditures for acquisition of new equipment or property to increase efficiency and services.” (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: Software builds the case for spending, but authorising capital expenditure commits the organisation and needs a person with that authority.
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.
Managing and conducting internal audits to ensure compliance with standards
changing shape
The software now makes the first pass at internal audits, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 85 · 3533/02
Source: “Manage and conduct internal audits to ensure compliance with standards.” (UK task statement)
How this row was scored
Exposure score: 42 out of 100 (35–49 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: Internal audit is not the reserved statutory audit, so no licence applies, though testing controls often means visiting the work.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Advising and managing the procurement of an organisation's products
changing shape
The software now makes the first pass at the procurement of an organisation's products, 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 70 · 3533/02
Source: “Advise and manage the procurement of an organisation's products.” (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: Procurement analysis is easy to produce, but advising and steering buying decisions involves people and negotiation.
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.
Creating tax strategies for clients
staying human
The ratings behind this row put tax strategies well outside what today's tools can do on their own.
importance 75 · 3533/02
Source: “Create tax strategies for clients.” (UK task statement)
How this row was scored
Exposure score: 37 out of 100 (30–44 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: Tax planning is unlicensed in Britain, but a workable strategy turns on private client circumstances and judgement software only partly supplies.
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 2/4.
Recommending personnel actions, such as promotions, transfers and dismissals
staying human
The ratings behind this row put personnel actions well outside what today's tools can do on their own.
importance 70 · 3533/02
Source: “Recommend personnel actions, such as promotions, transfers, and dismissals.” (UK task statement)
How this row was scored
Exposure score: 37 out of 100 (30–44 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: Recommending promotions or dismissals rests on knowing the people involved, which is private and largely unwritten, though the paperwork is routine.
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 2/4.
Sending cash, cheques or other forms of payment to banks
staying human
This work happens in the physical world: cash, cheques or other forms of payment, in a real place. Software cannot follow it there.
importance 75 · 3533/01
Source: “Send cash, cheques, or other forms of payment to banks.” (UK task statement)
How this row was scored
Exposure score: 25 out of 100 (18–32 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Preparing the banking is routine, but physically getting cash and cheques to the bank needs somebody to make the journey.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Delegating authority for the receipt
staying human
The rules require a named, qualified person to answer for authority, and that person cannot be a piece of software.
importance 80 · 3533/02
Source: “Delegate authority for the receipt, disbursement, and banking of funds, securities, and financial instruments.” (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 rating behind it: Handing someone authority over money is an act of a person with standing in the organisation, not something software can do.
The five ratings: output a model can produce 1/4 · 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.
Preparing cash receipts after establishments close
staying human
This work happens in the physical world: cash receipts after establishments close, in a real place. Software cannot follow it there.
importance 70 · 3533/01
Source: “Prepare cash receipts after establishments close.” (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 same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Counting and bagging the day's takings after closing is hands-on work with physical cash, whatever the paperwork behind it.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Developing relationships with banking, insurance and accounting personnel to support financial activities
staying human
The value here is that a specific person handles relationships and stands behind it. That is earned, not computed.
importance 75 · 3533/02
Source: “Develop relationships with banking, insurance, and accounting personnel to support financial activities.” (UK task statement)
How this row was scored
Exposure score: 13 out of 100 (9–17 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: Relationships with bankers, insurers and accountants are built person to person 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 2/4.
Handling cheque cashing for financial transactions
staying human
This work happens in the physical world: cheque, in a real place. Software cannot follow it there.
importance 70 · 3533/02
Source: “Handle cheque cashing for financial transactions.” (UK task statement)
How this row was scored
Exposure score: 7 out of 100 (0–14 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Cashing a cheque means handling paper and money across a counter.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Operating photocopiers as part of general office or clerical work
staying human
This work happens in the physical world: photocopiers, in a real place. Software cannot follow it there.
importance 50 · 3533/01
Source: “Operate photocopiers as part of general office or clerical work.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–7 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Copying needs someone standing at the machine with the paper.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Making bank deposits of cash receipts
staying human
This work happens in the physical world: bank deposits of cash receipts, in a real place. Software cannot follow it there.
importance 70 · 3533/02
Source: “Make bank deposits of cash receipts.” (UK task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Taking cash to the bank means physically carrying and paying it in.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

What this job pays, and how many people do it

Median pay: £60,600a 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: 37,700in 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: annual tax returns in, a record out. The rows above are exactly that shape: preparing and submitting annual tax returns and assisting in preparing annual accounts. What it cannot do is be trusted in person, which is what employees performing financial reporting runs on: someone specific doing it and standing behind it. 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: preparing and submitting annual tax returns is work today's tools do quickly and cheaply, and that is not coming back.

So, given all that: 76% of this job's task weight sits in rows the software is already learning, 11% in rows that change shape rather than disappear, and 13% in rows it is nowhere near. That is the position, measured across 85 scored tasks. It is not a forecast about you.

What you have that the software does not is supervising employees performing financial reporting, 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 annual tax returns 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 annual tax returns, 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 preparing and submitting annual tax returns” 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 supervising employees performing financial reporting 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 and accounting technicians (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was other educational professionals n.e.c: only about 21% of its durable work is work you already do and it pays 35.4% less. I am not going to pretend that is comfortable news: 76% of your own task list is already in the top exposure band. But the answer on this evidence is not a sideways jump into a job with the same problem. It is to walk toward the end of this one that answers for things. “produce annual and monthly accounts” is the part that stays with a person, and spending a year getting formally recognised for it beats a standing start somewhere else.

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.

Other educational professionals n.e.c
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “supervise employees performing financial reporting, accounting, and billing duties”. Across the whole of both lists that adds up to about 21% 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 21% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on. It is a pay cut, in those words: £39,114 against your £60,575, 35.4% less (ASHE Table 14.7a, 2025 provisional (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →
Book-keepers, payroll managers and wages clerks
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “adhere to, and support others to adhere to, relevant legislation and company vision, mission, values, policies…”. Across the whole of both lists that adds up to about 8% of the work in that job the software is not taking.
Why I am not recommending it: Almost none of it is work you already do: about 8% of the durable side of that job. That is a different job, not a next step. I will not move you off one melting floe onto another: 68% of its own task list already scores in the top exposure band (66/100 in this release), so the same software is eating it. It is a pay cut, in those words: £31,560 against your £60,575, 47.9% less (ASHE Table 14.7a, 2025 provisional (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →
Finance officers
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “adhere to, and support others to adhere to, relevant legislation and company vision, mission, values, policies…”. Across the whole of both lists that adds up to about 5% of the work in that job the software is not taking.
Why I am not recommending it: Almost none of it is work you already do: about 5% of the durable side of that job. That is a different job, not a next step. I will not move you off one melting floe onto another: 89% of its own task list already scores in the top exposure band (79/100 in this release), so the same software is eating it. It is a pay cut, in those words: £31,943 against your £60,575, 47.3% less (ASHE Table 14.7a, 2025 provisional (both)). Retraining to earn less is a decision, not advice.
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: 76% of its task weight, across 85 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: supervising employees performing financial reporting 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.

You are reading the United Kingdom figures

The United States splits this work across more than one official group, of which Bookkeeping, Accounting, and Auditing Clerks 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

In US official statistics this job is counted as Bookkeeping, Accounting, and Auditing Clerks. Pay and employment stay on this page’s own group; the task list and the scores do not cross over.

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 accounting technicians 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: the reporting and checking end of the work rather than the posting end. 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 accounting technicians 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 and accounting technicians?: Not as a job, but it is already doing parts of the work. Across the 85 official task statements scored for Financial and accounting technicians (United Kingdom, SOC 3533), 76% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 67 out of 100 (range 61–72, band: high). 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 and accounting technicians” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Compose letters as part of office duties” (100/100, very high); “Keep up to date with developments in public sector financial and management accounting practices” (100/100, very high); “Check ledger balances and other monthly accounts” (88/100, 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 and accounting technicians” stay human?: About 13% 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: “Make bank deposits of cash receipts” (0/100, minimal); “Operate photocopiers as part of general office or clerical work” (0/100, minimal); “Handle cheque cashing for financial transactions” (7/100, 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 and accounting technicians” do about AI?: Start from the ledger rather than the headline: 76% of this job's weighted core work is exposed, and roughly 13% 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 and accounting technicians 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 85 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.
15 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.

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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}
}

Permalink

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.