Using AI Inside Excel for Finance Work

Excel is where a great deal of finance work actually happens — the models, the analysis, the reconciliations, the reporting — and AI has increasingly moved inside the spreadsheet, available to read the data, suggest formulas, and draft analysis without leaving the workbook. For a finance professional, AI inside Excel can genuinely help with the work that lives there, accelerating and assisting spreadsheet tasks in the tool where finance work is done. But using AI inside Excel raises the same need for care as any AI use, plus some particular considerations specific to spreadsheets and the sensitive data they hold, so it must be used well and safely. Because the specific AI-in-Excel capabilities develop quickly and vary by tool, this guide focuses on how to use AI inside Excel well and safely at the level of durable principles, while noting that the specific features should be checked against the current tools. This guide addresses using AI inside Excel for finance work.

This guide is written for finance professionals using or considering AI inside Excel. It covers where AI inside Excel can genuinely help, the particular considerations spreadsheets raise, how to use AI in Excel well, the safeguards required including a spreadsheet-specific security risk, and how to approach using AI in Excel sensibly. It reflects the way AI is used in Excel as understood at the time of writing, while noting that the specific capabilities develop quickly and should be checked against the current tools. The aim is a practical, honest understanding of how to use AI inside Excel for finance work, capturing the value while using it well and safely, with the specific features to be confirmed against the current products.

Where AI Inside Excel Can Genuinely Help

AI inside Excel can genuinely help with the spreadsheet work that suits its capabilities, and understanding where shows the value. AI in Excel can help with formulas — suggesting or writing formulas from a plain-language description of what is wanted, explaining what a formula does, or helping find why a formula is returning an error — which assists the formula work that spreadsheet tasks involve, saving time and helping with the tricky formula problems. For a finance professional wrestling with a complex formula or a formula error, AI’s help with formulas can be genuinely useful.

AI in Excel can help with analysis — reading the data in the workbook, identifying trends or points of note, and drafting analysis or commentary based on the data — which assists the analytical work done in spreadsheets, providing a first pass the finance professional refines. It can help with drafting the text that accompanies spreadsheet work — variance commentary, reconciliation summaries, explanations — grounded in the workbook’s data. And it can help review and check a workbook — identifying errors, inconsistencies, or issues in the spreadsheet — which is a genuinely valuable use, since finding errors in a spreadsheet is important and time-consuming, and AI can assist with it. In these ways — the formulas, the analysis, the drafting, the reviewing — AI inside Excel can help with finance spreadsheet work, capturing value in the tool where the work is done. Understanding where AI inside Excel can genuinely help — formulas, analysis, drafting, reviewing — helps a finance professional capture the value. The help is real for these spreadsheet tasks, and capturing it is where a finance professional benefits from AI inside Excel, while the specific capabilities should be checked against the current tools.

The Particular Considerations Spreadsheets Raise

Using AI inside Excel raises some particular considerations specific to spreadsheets, which a finance professional should understand. Spreadsheets often hold sensitive financial data, and AI inside Excel accesses that data to work with it, which raises the data security consideration acutely — the sensitive data in the workbook is exposed to the AI, so how the AI tool handles that data matters, as covered in the guidance on data security. A finance professional using AI in Excel should be mindful that the workbook’s sensitive data is being accessed by the AI, and attend to the data handling accordingly.

Spreadsheets also involve formulas, models, and the integrity of the calculations, which raises the consideration that AI’s involvement must not compromise the correctness of the spreadsheet — a formula AI suggests, a change it makes, or an analysis it produces could be wrong, and in a finance spreadsheet, errors matter, so AI’s contributions must be verified and the spreadsheet’s correctness ensured. The interconnected nature of spreadsheets, where a change in one place affects others, means AI’s changes must be checked for their effects. And the sensitive, consequential nature of finance spreadsheets makes both the data security and the correctness considerations weigh heavily. Understanding the particular considerations spreadsheets raise — the acute data security given the sensitive data, and the correctness given the formulas and consequences — helps a finance professional use AI in Excel with appropriate care. These considerations are specific to the spreadsheet context and weigh heavily in finance, and understanding them is part of using AI inside Excel safely.

How to Use AI in Excel Well

Using AI inside Excel well means applying it to the spreadsheet tasks it suits while keeping the finance professional’s verification and judgement firmly in place. Using AI in Excel well means employing it for what it helps with — the formulas, the analysis, the drafting, the reviewing — capturing the value, while verifying its contributions and ensuring the spreadsheet remains correct. For formulas, using AI’s suggestions while checking they are correct and do what is intended; for analysis, using AI’s output while verifying it against the data and applying one’s own judgement; for reviewing, using AI to help find errors while confirming the findings. The finance professional captures AI’s help while ensuring the spreadsheet’s correctness through their verification.

A particularly effective use of AI in Excel is as a review and audit accelerator — using AI to help check a workbook, find errors and inconsistencies, and audit the spreadsheet’s logic — because this leverages AI’s ability to work through the spreadsheet while the finance professional confirms and acts on the findings, and finding errors is valuable. This review use, where AI helps surface issues the finance professional then verifies and addresses, is often more reliable and valuable than relying on AI to build the model, because reviewing and checking suits AI’s assistance well while the finance professional retains control of the model’s construction. Using AI in Excel well therefore means capturing its help with the suitable tasks, using it particularly for review and checking, while verifying its contributions and keeping control of the spreadsheet’s correctness. Understanding how to use AI in Excel well — for the suitable tasks, particularly review, with verification — helps a finance professional capture the value while keeping the spreadsheet sound. Using AI in Excel well, with verification and judgement retained, is how a finance professional benefits from it in spreadsheet work.

The Safeguards Required, Including a Spreadsheet-Specific Risk

Using AI inside Excel safely requires safeguards, including attention to a security risk specific to spreadsheets. The foundational safeguard is verification — verifying AI’s contributions to the spreadsheet, the formulas, the changes, the analysis, because AI can be wrong and finance spreadsheets must be correct. The finance professional must check that AI’s formulas are right, its changes correct and their effects sound, and its analysis accurate, ensuring the spreadsheet’s integrity. This verification is essential given how much finance depends on correct spreadsheets.

A spreadsheet-specific security risk warrants particular attention: because AI in Excel reads the content of the workbook, including formulas, cells, and comments, a spreadsheet from an untrusted source could contain hidden instructions crafted to manipulate the AI into taking harmful actions — such as exposing data or making changes — a form of what is called prompt injection. This means a finance professional should be cautious about using AI in Excel with spreadsheets from external or untrusted sources, because such a spreadsheet could carry hidden instructions that manipulate the AI. Some tools provide confirmation steps for actions that fetch external data or take consequential actions, which the finance professional should attend to, approving them deliberately rather than automatically. Related safeguards include attending to data security given the sensitive workbook data, using AI in Excel only for suitable tasks, retaining the finance professional’s judgement and control of the spreadsheet, and following the organisation’s policies. A finance professional who applies these safeguards — verification, caution with untrusted spreadsheets, attention to confirmation steps, data security, appropriate use, retained control — uses AI in Excel safely. Understanding the safeguards required, including the spreadsheet-specific prompt-injection risk, helps a finance professional use AI in Excel without falling into its pitfalls. The safeguards, particularly verification and caution with untrusted spreadsheets, are what make using AI inside Excel safe.

How to Approach Using AI in Excel Sensibly

A finance professional should approach using AI inside Excel sensibly, capturing the value while using it well and safely. This means using AI for the spreadsheet tasks it helps with — the formulas, the analysis, the drafting, and particularly the review and checking — capturing the value, while verifying its contributions, ensuring the spreadsheet’s correctness, and attending to the data security and the spreadsheet-specific security risk. It means using AI as an assistant to the spreadsheet work, particularly a review accelerator, rather than a replacement for the finance professional’s control of the spreadsheet’s correctness. And it means being cautious with spreadsheets from untrusted sources given the prompt-injection risk.

Approaching the use of AI in Excel sensibly also means checking the specific current capabilities and safeguards of the AI-in-Excel tools being used, because these develop quickly and vary by tool, and understanding a tool’s features, its data handling, and its confirmation steps helps use it well and safely. And it means keeping the finance professional’s judgement and verification firmly in place, because the correctness of finance spreadsheets is too important to entrust to AI unverified. A finance professional who approaches using AI in Excel this way — for the suitable tasks, particularly review, with verification, attending to the security considerations, checking the current tools, keeping control — captures the value while using it safely; one who uses it carelessly, trusting its output or using it with untrusted spreadsheets without caution, risks errors or security problems. Understanding how to approach using AI in Excel sensibly helps a finance professional benefit from it safely. Approaching the use of AI inside Excel sensibly — capturing the value for the suitable spreadsheet tasks while verifying, attending to the security risks, and keeping control — is how a finance professional benefits from AI in the tool where finance work lives, with the specific capabilities to be checked against the current products. This connects to the guidance on data security when using AI and automating reconciliations with AI.

Why Human Review of AI’s Spreadsheet Work Is Non-Negotiable

It is worth emphasising why human review of AI’s spreadsheet work is non-negotiable in finance, because the temptation to trust AI’s output in Excel can be strong and the consequences of not reviewing can be serious. Finance spreadsheets often feed into consequential outputs — the reporting, the decisions, the numbers relied upon — so an error introduced by AI, if not caught, can flow through into those consequential outputs with real effect. Because AI can produce confident but wrong output, and because its errors in a spreadsheet may not be obvious, the only reliable guard against acting on AI’s spreadsheet errors is the finance professional’s review of its work.

This means the finance professional must review AI’s contributions to the spreadsheet — checking the formulas, the changes, the analysis — before relying on them, treating AI’s spreadsheet work as a contribution to verify rather than a result to trust. The review is what ensures the spreadsheet remains correct despite AI’s involvement, and it cannot be skipped without risking errors flowing through. A finance professional who reviews AI’s spreadsheet work reliably keeps the spreadsheet sound; one who trusts it unreviewed risks the errors AI can introduce. Understanding why human review of AI’s spreadsheet work is non-negotiable — because finance spreadsheets are consequential and AI’s errors may not be obvious — reinforces the essential safeguard of verification. Human review of AI’s spreadsheet work is non-negotiable in finance, because it is the reliable guard against acting on AI’s errors, and a finance professional using AI in Excel must always review its work before relying on it.