Skip to content
Using AI As
3 role hubs · 7 tasksData privacy

AI for accountants and finance managers

Use ChatGPT, Claude or Copilot for formulas, checklists, queries and commentary drafts. The numbers come from the ledger and the bank, and a person approves and posts everything.

Written by Founder of Adapt Progress Evolve · 13 years of finance experiencePublished Updated
Ranked jobs to hand over8Lowest risk first
Jobs to keep human5For now
Task guides44 more planned
Rules105 do's · 5 don'ts

What to hand to AI first

Ranked · 8
  1. Excel formulas and spreadsheet structureDescribe the columns, never paste the data. The AI writes the XLOOKUP, SUMIFS or COUNTIFS; Excel does the arithmetic, and you test it on rows where you already know the answer.
  2. Checklists and working-paper templatesMonth-end and reconciliation checklists are structure and words, no numbers. Ask for a draft, then cut it down to what your team actually does.
  3. Explaining unmatched bank itemsFrom the description text only, no account details. Treat each suggestion as a lead to chase, never as the coding.Full guideGuide: AI for bank reconciliation: the finance-team process
  4. Cash-flow forecast structure and assumption wordingAI builds the weekly grid, the formulas and the first draft of the assumptions. Every figure comes from your aged debtors, aged creditors, payroll and tax dates.Full guideGuide: AI cash-flow forecasting: a weekly forecast you can defend
  5. Getting data out of Xero and into a review fileKnow when an official read-only connection fits and when an export with the identifiers stripped out is the safer route.Full guideGuide: ChatGPT and Xero: what connects and what to export
  6. A management P&L from a trial balanceAI proposes the code-to-line mapping from codes and names only and writes the formulas. You decide the mapping and the checks prove it ties back.Full guideGuide: P&L with AI: build one from a trial balance
  7. Commentary drafts from figures you chooseYou pick the figures and give the reasons; the AI writes around them. Read every sentence against the numbers before it goes anywhere.
  8. Queries to budget holders and suppliersLow stakes once you have the facts straight. Let the AI handle tone and phrasing, and read each one before you send it yourself.

Where AI fits in finance work

The rule is simple. The numbers come from the ledger and the bank. AI drafts words, formulas, structure and checklists. A person checks, approves and posts.

That’s it, really.

ICAEW’s do’s and don’ts for generative AI back this up, and they’re worth reading in full. Start small, with projects that aren’t business critical. Review and challenge what comes back with professional scepticism, which means watching for automation bias (the habit of trusting a tidy-looking answer because it’s tidy-looking). Be open about when AI has been used. Don’t abdicate responsibility, because outputs need human oversight. Keep client and confidential internal data off public AI tools. And don’t ignore inconsistencies or inaccuracies, even the small ones. Especially the small ones.

So the list of what to hand over runs from lowest risk to highest. Work down it in order. If the first few feel boring, good. Boring is what you want from your first AI projects in a finance team.

Bank reconciliation is the obvious first process

Bank reconciliation is where most people start, and it makes sense: the work is repetitive and the answer is checkable against a statement.

But layer it properly. Your software matches first. Bank rules code the recurring lines, and Xero suggests matches against transactions already in the ledger. In Xero, JAX (“Just Ask Xero”) can also reconcile statement lines automatically when it’s highly confident, using four methods labelled Rule, Match, Memory and Prediction, and you can review what it reconciled and fix mistakes. Automatic reconciliation comes with the Grow plan and above in the UK, or as an add-on on the smaller plans.

Then there are the leftovers: the odd lines with a description that’s a string of codes and half a name. A general assistant can help you think about what those might be, working from the description text alone, never the account details. It can also draft your reconciliation checklist and write the Excel formulas for your comparison workbook.

The full process is on the bank reconciliation page. Just keep the order straight: software, then AI for the stragglers, then you approve.

Where general AI and your accounting software meet

These are two different things, and people blur them.

Built-in AI like JAX lives inside your accounting software and works on your books, with the permissions that come with that. A general assistant like ChatGPT, Claude or Copilot sits outside, and only knows what you tell it, or what a connection lets it read.

Xero now has an official connector in Claude, and it’s read-only: Claude can’t change anything in your books. Since 15 September 2026 there’s also a Xero plugin in ChatGPT. Xero’s developer MCP server is a different animal, because it includes write commands. The Xero page sets out what each one does and which reports to export when a live connection isn’t the right fit.

Read-only matters. It means the worst case from a mistaken answer is a wrong sentence in a draft, not a wrong journal in the ledger. Keep it that way for as long as you can.

Status rows

Do's and don'ts.

Green rows are habits worth keeping. Red rows are the ones that cost trust when they go wrong.

  • Start smallICAEW's advice is to begin with projects that are not business critical. Formulas and checklists come first for that reason.
  • Take the numbers from the system of recordBalances, invoices and dates come from your accounting software and the bank, never from the AI.
  • Review with professional scepticismChallenge every output and watch for automation bias: trusting a tidy answer because it looks tidy.
  • Be open about AI useICAEW recommends making it clear when AI has been used in a process or to create an output.
  • Let the software match before AI gets involvedBank rules, suggested matches and, in Xero, JAX's automatic reconciliation come first. General AI is for what is left over.
  • Don't paste client or confidential data into public toolsICAEW's guidance is to keep client and confidential internal data off public AI tools. Describe the layout; leave out the data.
  • Don't type in a number the AI gave youIf a figure did not come out of a formula or the ledger, it does not go in the file.
  • Don't hand over responsibilityAI outputs need human oversight. The preparer and the reviewer still sign, and they sign for the content.
  • Don't ignore small inconsistenciesA total that is slightly off, or a sentence that doesn't match the figures, is the AI telling you something. Chase it.
  • Don't assume a connection is read-onlyXero's connector in Claude is read-only. Xero's developer MCP server includes write commands. Check before you connect.

Task tiles

Tasks for finance.

Full guides carry the steps, the prompts, a checkpoint after each step and a sign-off checklist. Planned tasks are next, in this order.

Full guideAI for bank reconciliation: the finance-team processBeginner · About an hour to set up the first time, then less each periodXero or your accounting softwareFull guideAI cash-flow forecasting: a weekly forecast you can defendIntermediate · About half a day to build the first version, then under an hour a week to roll it forwardMicrosoft ExcelFull guideChatGPT and Xero: what connects and what to exportBeginner · About 15 minutes to connect, or 30 minutes for an export cleaned and readyXeroFull guideP&L with AI: build one from a trial balanceIntermediate · About an hour the first time on your own dataTemplate
PlannedMonth-end close with AIWhere AI fits in a close timetable, and the steps that stay with the finance team.
PlannedManagement accounts from a trial balanceBuilding the monthly pack around the P&L, with the commentary drafted from figures you choose.
PlannedBudget vs actual commentaryTurning variances and the reasons you give into commentary that budget holders will read.
PlannedAI for accounts payable and receivableWhere AI helps with supplier and customer admin, and what stays with the person who approves payments.

Confidentiality and UK GDPR

Before you paste anything: green, amber or red.

Before you paste anything, ask two questions: is there personal data in it, and is it confidential to my organisation or a client? If the answer to either is yes, use a tool your organisation has approved, under a business contract, and send only what the task needs.

Green · fine to share

Give it structure, not identities

Codes, headings, layouts, policy wording and your own notes with names taken out are usually enough. Customer names, staff names and bank details almost never are.

Ask for the formula, the template or the draft, not the answer. A formula you can test or a draft you can edit is checkable. A total typed back into a chat window is not.

Amber · approved tools only

Real data goes in an approved business tier

If it is your organisation's or a client's information, use the tool your organisation has approved, under its contract, not a personal account.

Under a business contract the provider usually acts as your processor. On a personal account you are agreeing to its consumer terms instead.

Red · never in a consumer tool

Never paste these into a personal AI account

  • Payroll reports, salaries by name, bank details or National Insurance numbers
  • Named employee records: health, absence, grievance or disciplinary details
  • Customer or supplier ledgers with names attached
  • Unpublished results, forecasts or board papers
  • Anything a client has given you
  • Passwords, API keys or bank logins (in any tool, ever)
UK GDPR, in four lines
  1. Send the minimum. UK GDPR's data minimisation principle says personal data must be adequate, relevant and limited to what is necessary for the purpose. For most tasks on this site, the personal data the AI needs is none. 1ICO: The data minimisation principleico.org.uk
  2. Know who is controller and who is processor. Under a business contract, the AI provider usually acts as your processor. On a personal consumer account, you are agreeing to the provider's own consumer terms instead. 2ICO: Controllers and processorsico.org.uk
  3. Check where the data goes. Many AI services process data outside the UK. Restricted transfers need safeguards, which a business agreement usually addresses and a personal sign-up does not. 3ICO: International transfersico.org.uk
  4. The ICO has AI-specific guidance. It covers accountability, transparency, accuracy and security when organisations use AI with personal data. 4ICO: Guidance on AI and data protectionico.org.uk
Confidentiality
  • Your employment contract almost certainly includes a duty of confidentiality, and your organisation may have an AI policy. Read both before you start.
  • Client information belongs to the client. If you work in practice, confidentiality is one of the fundamental principles in professional codes such as ICAEW's. 5ICAEW Code of Ethics (confidentiality is a fundamental principle)www.icaew.com
  • Commercially sensitive information (pricing, margins, unpublished results, deal work) counts even when it contains no personal data.
Consumer plans vs business tiersChecked 1 October 2026
AI tool tiers and whether your data trains models
ProviderPersonal plansBusiness and enterprise
OpenAI (ChatGPT)Check settingsPersonal plans: conversations can be used to train models unless you turn off "Improve the model for everyone" in Settings > Data controls.Not trained on by defaultChatGPT Business, Enterprise, Edu and the API: not used to improve models by default.6OpenAI Help Centre: How your data is used to improve model performancehelp.openai.com7OpenAI: Enterprise privacy at OpenAIopenai.com
Anthropic (Claude)Check settingsFree, Pro and Max: chats are used to train models only when the model-improvement setting is on. With it on, data is kept for up to five years; with it off, the standard is 30 days.Not trained on by defaultClaude for Work and the API: inputs and outputs are not used to train models by default.8Anthropic: Updates to Consumer Terms and Privacy Policywww.anthropic.com9Anthropic Privacy Center: Is my data used for model training? (consumer)privacy.claude.com10Anthropic Privacy Center: Is my data used for model training? (commercial)privacy.claude.com
Microsoft (Copilot)Check settingsPersonal Microsoft accounts are covered by Microsoft's consumer terms, not your organisation's.Processor under DPACopilot and Copilot Chat used through an organisation: covered by Microsoft's Data Protection Addendum with Microsoft as processor; your data is not used to train foundation models.11Microsoft Learn: Enterprise data protection in Microsoft Copilot and Copilot Chatlearn.microsoft.com12Microsoft Learn: Data, privacy and security for Microsoft Copilotlearn.microsoft.com
Checked 1 October 2026. Providers change their terms; read the live page and your organisation's contract before relying on this table.

Sources for this section

12
  1. ICO: The data minimisation principleico.org.uk1
  2. ICO: Controllers and processorsico.org.uk2
  3. ICO: International transfersico.org.uk3
  4. ICO: Guidance on AI and data protectionico.org.uk4
  5. ICAEW Code of Ethics (confidentiality is a fundamental principle)icaew.com5
  6. OpenAI Help Centre: How your data is used to improve model performancehelp.openai.com6
  7. OpenAI: Enterprise privacy at OpenAIopenai.com7
  8. Anthropic: Updates to Consumer Terms and Privacy Policyanthropic.com8
  9. Anthropic Privacy Center: Is my data used for model training? (consumer)privacy.claude.com9
  10. Anthropic Privacy Center: Is my data used for model training? (commercial)privacy.claude.com10
  11. Microsoft Learn: Enterprise data protection in Microsoft Copilot and Copilot Chatlearn.microsoft.com11
  12. Microsoft Learn: Data, privacy and security for Microsoft Copilotlearn.microsoft.com12

From the same studio · disclosed

Where one of ours fits

ScriptGrain. If the monthly commentary is the slow part, it drafts reports and commentary in your own writing voice from a profile of your past writing.

Can You Use AI. The record-keeping side of the same question: whether you can use AI to do your bookkeeping, and what HMRC and Making Tax Digital expect.

Ours: made by the same studio that runs this site.

ScriptGrainCan You Use AI: do my bookkeeping

Questions

Questions people ask. Every answer open.

Short answers, drawn from this page. The sources are listed above.

Something missing, or out of date? Tell the author.

Email hello@usingaias.com

Finance 5

Can accountants use ChatGPT for finance work?
Yes, for words, formulas, structure and checklists: Excel formulas, working-paper templates, queries to budget holders and commentary drafts. The numbers come from the ledger and the bank, and a person checks, approves and posts.
What should a finance team hand over to AI first?
Excel formulas and spreadsheet structure, described by column headings without pasting the data. Checklists and working-paper templates come next. Both are low risk and easy to check.
Which finance jobs should stay human?
Approving and posting journals and reconciliations, the numbers themselves, judgement calls on provisions, accruals and write-offs, payments and bank detail changes, and anything signed off to a board, lender or HMRC.
What does ICAEW say about using generative AI?
Its do's and don'ts include starting small with projects that are not business critical, reviewing outputs with professional scepticism, being transparent about AI use, not abdicating responsibility, and keeping client and confidential internal data off public AI tools.
Does Xero have its own AI?
Yes. JAX (Just Ask Xero) reconciles bank statement lines automatically when it is highly confident, labelling each one Rule, Match, Memory or Prediction so you can review it. Xero also has a read-only connector in Claude and a plugin in ChatGPT.