The short answer
The best AI for finance work in 2026 is Microsoft 365 Copilot, because it works inside Excel, where Microsoft added clean data and accounting skills in October 2026, under enterprise data protection. Claude by Anthropic is the runner-up for analysis and commentary with visible working, and ChatGPT Free is the best free option for anonymised spreadsheets. AI output is not financial advice: a qualified professional should check anything that matters, and no chatbot should pick your investments.
| Our pick | Microsoft 365 Copilot (in Excel), by Microsoft |
|---|---|
| Runner-up | Claude, by Anthropic |
| Best free option | ChatGPT Free, by OpenAI |
| Best use | Cleaning data, writing formulas, reconciliations, commentary drafts |
| Never use it for | Investment picks, tax treatment decisions or approving payments |
| Is it financial advice? | No. Have a qualified professional check anything that matters |
Read this first: AI output is not financial advice
AI assistants are useful for finance work, but what they produce is not financial, tax, accounting or investment advice, and this page does not give any either. Models can misread a column, apply the wrong sign to a number or state an out-of-date tax rule with complete confidence. Use AI to clean, calculate, explain and draft, and have a qualified professional, such as an accountant, auditor or regulated financial adviser, check anything that matters before it goes into a filing, a board pack, a client report or a decision about money. Do not ask a chatbot which shares, funds or crypto to buy: that is personalised investment advice, and a general AI assistant is not authorised or equipped to give it.
This page is about finance work: reporting, analysis, budgeting, forecasting, reconciliations and the writing around them.
Our pick for finance teams: Microsoft 365 Copilot in Excel
Why: finance runs on Excel, and Microsoft 365 Copilot works inside Excel, Outlook, Teams, Word and PowerPoint using your organisation's own files. Microsoft's October 2026 update added a clean data skill and accounting skills to Copilot in Excel, so the tedious first hour of a month-end task (fixing dates, splitting columns, finding duplicates) can be handed over inside the workbook you already use. Work accounts get enterprise data protection: Microsoft says prompts, responses and Microsoft Graph data are not used to train foundation models, and sensitivity labels, retention and audit still apply.
Who it suits: finance and accounting teams in companies that already pay for Microsoft 365 and have Copilot licences, and controllers who want AI help without moving data out of the Microsoft tenant.
The catch: features often start in Microsoft's Frontier early access programme and names change monthly. Microsoft also says Anthropic models are currently excluded from the EU Data Boundary, which matters if your company relies on it. From 1 December 2026, new Microsoft 365 Copilot Business licences bought through Microsoft's CSP partners have usage-based billing on by default. And the free personal Copilot app is not the same product: keep company numbers out of it. See our Copilot guide and how to use AI for Excel.
Runner-up: Claude, for analysis you can audit
Why: Claude, made by Anthropic, is the better choice when the job is judgement across a lot of material: reading an annual report, explaining why a model gives a strange result or writing the commentary that goes with the numbers. Claude can run code and create spreadsheets, and on paid plans Claude Dashboards (beta) builds charts from connected data such as Salesforce, with every chart showing the query behind it and when it last refreshed. That visible working is exactly what a reviewer needs. Claude Opus 5.5, released on 22 September 2026, is the main paid model, and Microsoft 365 connects from the Pro plan upwards.
Who it suits: FP&A analysts, founders and finance business partners who need written analysis as much as calculation, and teams on Google Workspace or mixed tools.
The catch: for company data use Team or Enterprise, which are not used for training by default; personal plans can train on your chats unless you switch off Help Improve our AI models in Settings, then Privacy. Usage limits apply on every plan. Compare it with the others in ChatGPT vs Claude.
Best free option: ChatGPT Free, for anonymised spreadsheets
Why: ChatGPT, made by OpenAI, gives unlimited text chats on the free plan with GPT-6 Luna, plus limited file uploads and data analysis, so you can upload an exported CSV and ask for a pivot, a chart or a formula explanation without paying.
Who it suits: students, freelancers and small business owners who want help with formulas, budgets and cash flow spreadsheets, using data with names and account numbers removed.
The catch: free limits on uploads and data analysis are low, and the free Instant context window is about 27,000 tokens, roughly 12 pages. Improve the model for everyone is on by default on Free (Settings, then Data controls), so switch it off before uploading anything real, or use a Temporary chat. Read our ChatGPT guide.
How to choose an AI tool for finance: three questions
- Is the data confidential or regulated? Ledgers, payroll, client portfolios and unpublished results belong on a work plan with no training by default: Microsoft 365 Copilot with a work account, Claude Team or Enterprise, or ChatGPT Business or Enterprise. Check your firm's rules on approved tools first.
- Where do the numbers live? Excel and SharePoint point to Copilot. Google Sheets and Drive point to Gemini (see Claude vs Gemini). Exports and mixed sources work well in Claude or ChatGPT.
- Do you need calculation or explanation? For calculation, insist the AI writes formulas or code you can see, never mental arithmetic in a sentence. For explanation and commentary, pick the strongest writer you can use safely.
Workflow: monthly budget vs actual commentary, end to end
- Export. Pull budget and actuals by cost centre into one workbook. Remove anything you are not allowed to share with the tool.
- Clean. Ask Copilot in Excel (or your assistant, with the file attached) to fix dates, standardise account names and flag duplicates. Review every change it proposes.
- Calculate in the sheet. Ask for variance columns as Excel formulas: amount, percentage and a flag for anything over your threshold. The formulas stay in the workbook, so anyone can audit them.
- Explain. Give the AI the variance table plus context you know (a delayed hire, a one-off licence) and ask for commentary that references the exact cells or rows behind each sentence.
- Check. Tick every number in the commentary back to the sheet. Any figure you cannot trace comes out.
- Review. The finance lead or controller approves the numbers and the wording. This is the step that makes it a finance document.
- Present. Turn the approved commentary into three slides: headline, top variances, actions. Copilot in PowerPoint or Claude Slides both export to PowerPoint.
For spreadsheet-heavy work see the best AI for spreadsheets and the best AI for data analysis. Accountants will find more in AI for accountants.
What to keep away from AI
- Investment decisions. Do not ask a chatbot what to buy or sell, or how to allocate your savings. Talk to a regulated adviser.
- Tax and accounting treatment. AI can explain a concept, but rules change and depend on your jurisdiction. A qualified professional decides the treatment.
- Numbers you have not traced. If a figure cannot be tied back to a formula or a source row, it does not go in the report.
- Payments. Agents can act in connected apps. Do not let one approve, initiate or change a payment.
7 finance prompts to copy
Replace the [placeholders] and attach the file where you can. Each prompt asks for visible working, because in finance an answer you cannot check is worth nothing.
Prompts to copy
Variance commentary with references
Attached is our budget vs actual for [month] by cost centre. Write commentary for the [finance committee]: a three-sentence headline, then the five largest variances over [threshold]. For each, state the amount and percentage, reference the row it comes from, and use only this context for causes: [paste known reasons]. Write 'cause unknown' rather than guessing.
You get: Commentary where every number points back to the sheet
Build the variance formulas
In the attached workbook, column [C] is budget and column [D] is actual. Write Excel formulas for: variance amount, variance percentage that handles a zero budget, and a flag that shows 'Review' when the absolute variance is over [5]% and over [1,000]. Explain each formula in one line.
You get: Auditable formulas instead of numbers typed by AI
Reconcile two exports
Attached are [the bank export] and [the ledger export] for [month]. Match transactions by date (within [2] days), amount and reference. Produce three tables: matched, in the bank only and in the ledger only. Show the code or method you used so I can repeat it next month.
You get: A reconciliation with the unmatched items listed
Check a model for errors
Review the attached [forecast model] for errors: hard-coded numbers inside formulas, inconsistent formulas across a row, broken references, circular logic and assumptions that are not labelled. List each issue with the sheet and cell, why it matters and a fix. Do not change the file.
You get: An error list for a model before it goes to review
Cash flow scenarios for planning
Using these assumptions: [paste revenue, costs, payment terms, current cash], build a 12-month cash flow table in three scenarios: base, [revenue 20% lower] and [customers pay 30 days later]. Show the month cash falls below [minimum balance] in each. Label every assumption so I can change it.
You get: A scenario table for planning, with assumptions in plain sight
Summarise an annual report
Summarise the attached annual report of [company] for a finance reader: revenue, operating profit, cash flow from operations and net debt for the last two years, with the page number for each figure. Then list the three biggest risks the company itself names, quoting the report. Do not add figures from outside the document.
You get: A sourced summary of a long report
Explain finance to a budget holder
Write a short email to [department head] explaining why their [marketing] spend is [12]% over budget for [quarter], using these facts: [paste]. Plain English, no jargon, under 180 words, and end with two specific questions about the next quarter.
You get: A clear, non-defensive email to a budget owner