Best AI tools for finance professionals in 2027

AI tools for finance now sit inside software that finance teams already use. Copilot in Excel, Gemini in Google Sheets, Claude for Excel and ChatGPT for Excel build and edit models, while Power BI, Zoho Books, Datarails, Azure Document Intelligence, Bloomberg and FactSet cover reporting, forecasting, document extraction and research. OpenAI and Anthropic both tell users to verify the output, and Anthropic lists audit-critical calculations among the uses it does not recommend unverified.

Last updated: 11 November 2026.

Can AI do financial analysis?

AI tools can draft formulas, build model structures, summarise documents and flag anomalies, but the pages of OpenAI and Anthropic say the user still verifies the result. Microsoft's support page says Copilot in Excel helps when updating budgets, creating financial models or analysing data, using Excel's own tables, charts, PivotTables and formulas. OpenAI's Help Center says ChatGPT is not a financial, legal or tax advisor and that outputs should be verified.

The US Department of Labor's O*NET lists Excel, Power BI, Tableau and SQL among the technologies for financial and investment analysts, which is where the features below appear. The list describes tools only and takes no position on any investment decision. The tools for data analysts working in SQL and notebooks are in top 10 AI tools for data analysts.

Which AI tools help with spreadsheet modelling and analysis?

Copilot in Excel, Gemini in Google Sheets, Claude for Excel, ChatGPT for Excel and Power BI Copilot are the AI tools that work inside Excel, Google Sheets and Power BI.

Copilot in Excel

Microsoft Copilot in Excel builds and edits workbooks using Excel's tables, charts, PivotTables and formulas, keeps content editable, and offers edit, plan and chat modes. In plan mode it generates a plan to review and confirm before it changes anything. A hypothetical analyst can ask it to turn a trial-balance export into a budget-versus-actual PivotTable. The limit is access: Microsoft says Copilot may be missing if the subscription does not include it or the organisation has switched it off. The control is the visible plan and the changed cells.

Gemini in Google Sheets

Google's Gemini in Google Sheets creates tables and formulas, builds charts and pivot tables, fixes formula errors, solves optimisation tasks and chats about BigQuery data. A hypothetical team can ask for a pivot of expenses by cost centre. The limit is licensing and format: it needs an eligible Google Workspace or Google AI plan and works best on native Sheets files, so an .xlsx file must first be saved as Google Sheets. The control is Show code, which displays the code behind an output, and Undo.

Claude for Excel

Claude for Excel is Anthropic's Excel add-in, generally available to the Pro, Max, Team and Enterprise plans. It answers questions about open workbooks with cell-level citations, adjusts assumptions while keeping formula relationships, and can pull context through connectors such as S&P Global, LSEG and Daloopa. A hypothetical analyst can flex a growth assumption and read the effect on terminal value. Anthropic's page lists its own limits plainly: not recommended for final client deliverables without human review, audit-critical calculations without verification or sensitive regulated data without controls, and no support for data tables, macros or VBA.

ChatGPT for Excel

ChatGPT for Excel and Google Sheets is OpenAI's sidebar for building, updating and explaining spreadsheets, with default Skills for financial modeling and corporate finance formatting. A hypothetical analyst can ask for a scenario tab comparing base, upside and downside cases. The limits come from OpenAI's page: spreadsheet chats do not sync with the main ChatGPT history, VBA and macros may not be fully supported, and important files should be duplicated first. The control is reviewing formulas, calculations, citations and changed cells.

Power BI Copilot

Microsoft Copilot in Power BI gives chat-based analysis for business users and DAX generation for report authors. A hypothetical finance team can ask it to explain why a revenue measure moved. Microsoft Learn says it needs paid Fabric or Power BI Premium capacity, that it answers from the semantic model when a question relates to its data and otherwise from the model's general knowledge, and that without data preparation it can return generic or inaccurate results. The control is the semantic model's definitions.

Which AI tools help with bookkeeping, forecasting, documents and market research?

Zoho Books, Datarails FinanceOS, Azure Document Intelligence, Bloomberg AI and FactSet Intelligence cover bookkeeping, planning and forecasting, invoice extraction and market research.

Zoho Books

Zoho Books has in-built AI features through Zia: Ask Zia creates items and transactions and retrieves organisation data, and the CoCreate Agent drafts quotes, invoices and credit notes from a prompt while the user can take control. Report charts offer View Forecast and View Anomaly. A hypothetical business can chart monthly sales and check the forecast and anomalies. Some features, such as AI-suggested bank-statement categories, are Early Access, and organisations choose the AI provider and model for each feature in AI Preferences, which makes that choice a data-handling decision.

Datarails FinanceOS

Datarails describes Datarails FinanceOS as a governed, Excel-connected layer for finance with version control, audit trails and permission settings. Its modules include Datarails FP&A for budgeting, forecasting and scenario modelling, Datarails Cash for 13-week cash forecasts and Datarails Month-End Close for reconciliations and checklists. A hypothetical finance team can keep its Excel models while connecting data sources. The limit is that this is a separate platform: the value depends on connecting and mapping the company's data first.

Azure Document Intelligence

Azure Document Intelligence in Foundry Tools is Microsoft's cloud service for document processing. Its invoice model uses OCR to extract key fields and line items from invoices, utility bills, sales orders and purchase orders, including phone-captured images and scans, and returns structured JSON. A hypothetical accounts payable team can extract due dates, amounts due and line items from vendor invoices. The limit is lifecycle: Microsoft's version table lists v4.0 as current, v3.0 retiring on 30 March 2029 and v2.1 retiring on 15 September 2027, so pipelines need version tracking.

Bloomberg AI

Bloomberg AI is the set of AI features in the Bloomberg Terminal, including ASKB, which Bloomberg describes as a conversational AI interface that complements existing Terminal workflows. Its page says responses are grounded in Bloomberg's content with transparent attribution and direct links to source documents, and that users can extract cited text from company documents to verify assumptions in research notes. The limit is scope: it works over Bloomberg's content and a firm's connected sources inside the Terminal, so it is not a general spreadsheet assistant. The control is clicking through to the source.

FactSet Intelligence

FactSet Intelligence is FactSet's AI stack for connected data, analytics and workflows. Its page lists a Transcript Assistant for earnings call transcripts, Portfolio Commentary with direct source-linking, and Model Context Protocol servers that give assistants such as ChatGPT, Claude and Microsoft Copilot access to FactSet content. A hypothetical analyst can ask follow-up questions of a transcript. The limit is dependence on FactSet's content and platform, and its AI for Banking is described as deployed with human oversight on every output, which is also the control.

How do the ten compare?

The ten AI tools for finance differ mainly in where they run and which review step they leave to the user. The table sets each tool's best use and main limit as the vendor's page states them on 11 November 2026, beside the control the user still owns.

Which AI tool is best for Excel modelling?

No single AI tool is best for Excel modelling on every criterion. The criterion is where the model lives and which review hooks the tool exposes, so the table above lists the control beside each limit.

• Model in Excel on a Microsoft 365 plan with Copilot: Copilot in Excel, whose plan mode shows the approach before changes.
• Model in Excel where answers must point to cells: Claude for Excel, which cites cells, if the plan and Excel version are supported.
• Model in Google Sheets: Gemini in Google Sheets, with Show code and Undo.
• Models in both Excel and Sheets, with an existing ChatGPT account: ChatGPT for Excel and Google Sheets.
• Reports on a Power BI semantic model: Power BI Copilot, once the model is prepared.

Is it safe to upload company financials to an AI tool?

The vendors' pages say different things, and the decision belongs to the company's security and compliance teams. OpenAI's page says Microsoft may be able to read the content of an Excel workbook, attachments and prompts under the Add In Marketplace terms, and that some data logs may be stored with OpenAI for 30 days. Microsoft's data protection page for Copilot says prompts, responses and data accessed through Microsoft Graph are not used to train foundation LLMs.

Anthropic's page does not recommend Claude for Excel for models containing highly sensitive or regulated data without proper controls, and warns that external files can carry hidden instructions. The Reserve Bank of India's FREE-AI committee report of 13 August 2025 sets out 7 Sutras and 26 recommendations on responsible AI in finance, which are recommendations rather than binding rules. A model run on the company's own hardware, as in how to run LLMs locally, is one route when data may not leave.

How can an analyst check an AI-built model?

An analyst can check an AI-built model by recomputing one headline number by a different route before the model is used. Microsoft's NPV page says the values must be equally spaced and occur at the end of each period, and that a first cash flow at the beginning of the first period must be added to the NPV result instead of being included in the values.

A hypothetical project has cash flows of -1000, 400, 500 and 600 in Rs thousand, discounted at 10%. A model that writes =NPV(10%, -1000, 400, 500, 600) discounts the outlay by a period. The script below applies Excel's documented convention to both forms. It does not run Excel.

def excel_npv(rate, *values):
    """Excel's NPV discounts the first value by one full period."""
    return sum(v / (1 + rate) ** (i + 1) for i, v in enumerate(values))

flows = [-1000, 400, 500, 600]  # hypothetical project, in Rs thousand
rate = 0.10

misused = excel_npv(rate, *flows)
correct = flows[0] + excel_npv(rate, *flows[1:])

print("NPV(10%, -1000, 400, 500, 600):", round(misused, 2))
print("-1000 + NPV(10%, 400, 500, 600):", round(correct, 2))
print("Difference:", round(correct - misused, 2))

Run with Python 3.9, it prints the lines below. The misused form is off by 20.7, about 10% of its own figure, and the formula is valid, so nothing flags it and only a recomputation reveals it.

NPV(10%, -1000, 400, 500, 600): 206.95
-1000 + NPV(10%, 400, 500, 600): 227.65
Difference: 20.7

Checking requires knowing the formulas. Excel formulas every professional should know and financial modelling basics: the three-statement model cover that ground. For agents in finance operations, see agentic AI for finance operations managers.

Where do AI tools fit in a finance programme?

SPJIMR Certification in Finance and Financial Analysis is a mostly live online programme certified by SPJIMR, with Masai as implementation and learning support partner and an optional campus immersion at SPJIMR, covering finance fundamentals, financial statements, Excel for finance, budgeting, fintech and GenAI for finance workflows, and a capstone dossier. Its modules include Excel for Finance & Reporting, Budgeting & Financial Decisions and GenAI for Finance Workflows.

Frequently asked questions

Can AI do financial analysis?

AI tools can draft formulas, build model structures, summarise documents and flag anomalies in finance work, but the user verifies the result. OpenAI's Help Center says ChatGPT is not a financial, legal or tax advisor and that outputs should be verified, and Anthropic does not recommend Claude for Excel for audit-critical calculations without verification.

Is it safe to upload company financials to an AI tool?

Whether company financials can go into an AI tool depends on the vendor's terms and the company's policy. OpenAI says Microsoft may be able to read Excel workbook content under the Add In Marketplace terms and that some logs are kept for 30 days. Anthropic advises against sensitive regulated data without proper controls. Microsoft says Copilot prompts and responses are not used to train foundation LLMs.

Which AI tool is best for Excel modelling?

No AI tool is best for Excel modelling on every criterion. Copilot in Excel offers a plan mode to review before changes, Claude for Excel cites cells, ChatGPT for Excel works in both Excel and Google Sheets and includes financial modeling Skills, and Gemini in Google Sheets shows its code. The right choice follows where the model lives and which review step the team needs.

What is Claude for Excel?

Claude for Excel is an add-in from Anthropic that brings Claude into Excel. It answers questions about open workbooks with cell-level citations, adjusts assumptions while preserving formula relationships, and can build or populate models. Anthropic's page says it is generally available to the Pro, Max, Team and Enterprise plans and does not support macros, VBA or data tables.

Can ChatGPT build a financial model in Excel?

OpenAI's ChatGPT for Excel and Google Sheets can create and update spreadsheets from natural-language instructions and includes default Skills for financial modeling and corporate finance formatting. OpenAI's page notes that outputs may be incomplete or incorrect, VBA and macros may not be fully supported, and formulas, calculations and changed cells should be reviewed before use.

What should an analyst check in an AI-built model?

Check the formulas and the changed cells, follow any citations to their sources, and recompute one headline figure by a separate route. A timing convention is an easy trap: Microsoft's NPV function treats the first value as occurring at the end of the first period, so a cash flow at time zero must be added outside the function.

Next step

Finance teams are adding AI inside Excel, Sheets and reporting tools, and the habit that matters is checking its output. The SPJIMR Certification in Finance and Financial Analysis curriculum lists Excel for finance, budgeting and GenAI for finance workflows.