ChatGPT for Financial Analysis: Check Figures and Assumptions

ChatGPT for financial analysis is useful for organizing questions, explaining supplied figures, and comparing clearly defined scenarios. Treat its output as review material: reconcile numbers with original financial records and verify calculations before using a conclusion. A convincing narrative is not evidence that the underlying accounting is right.

Tools like fenbs keep approved assumptions, source references, and follow-up questions with the project after the chat ends. The working financial model stays in your approved spreadsheet or analysis system; the record explains what a person accepted and what still needs review.

How do you start a financial analysis in ChatGPT?

1. State one question, such as what changed between two reporting periods. Specify the entity, currency, reporting basis, and intended audience.
2. Collect authorized statements and supporting notes from the original source. Record their dates and versions, and remove unnecessary sensitive information.
3. Ask ChatGPT to identify the relevant tables, units, periods, and missing context before calculating.
4. Request a limited comparison with formulas and source locations for every material figure. Keep actual results separate from hypothetical scenarios.
5. Recalculate key measures independently and have an appropriately qualified person review conclusions before approval or distribution.

A hypothetical small manufacturer might ask why its operating margin changed between two quarters. That is a manageable review question. Asking whether the business is healthy without specifying a period, evidence, or definition invites the assistant to substitute a broad story for a checkable analysis.

Which financial sources should you provide?

Start with the records relevant to the question, including the notes needed to interpret them. The SEC’s financial statements guide↗ (opens in a new tab) explains the different views provided by balance sheets, income statements, and cash flow statements. A period’s earnings and its cash movements answer different questions.

For US public-company research, open the filing yourself and record the exact document and period. Investor.gov’s guide to reading a 10-K↗ (opens in a new tab) points to financial statements, management discussion, and risk information. Give the assistant the relevant evidence rather than asking it to recall a company’s latest results.

For internal work, confirm that the file is approved for use in the chosen workspace. Keep payroll details, account identifiers, and customer information out unless they are necessary and specifically authorized. Public filings can be a useful starting exercise before you introduce confidential business records.

The general data analysis workflow covers preparing tables and inspecting an upload; this financial workflow adds source reconciliation and review of accounting meaning.

How do you prevent period and unit mistakes?

Make the assistant produce a source table before a conclusion. Include the statement, line label, period, unit, original value, and any transformation. A value reported in thousands should not quietly become a value in dollars, and a year-to-date amount should not be treated as one quarter.

If a difference cannot be resolved from the supplied records, mark it as unresolved and ask the responsible finance person. Do not let a guessed mapping become a permanent assumption. Save the approved comparison rules in fenbs Decisions and rules so later sessions use the same basis.

What should you ask ChatGPT to calculate?

Begin with one transparent measure. For example, ask for the change in a reported line item and require the formula, numerator, denominator, and source values. OpenAI’s data analysis documentation↗ (opens in a new tab) describes uploaded-file calculations and reviewing the generated method. A tool-assisted calculation still needs reconciliation.

Analyze only the attached authorized statements and notes.
Question: which reported line items explain the change in operating margin between these two quarters?
First confirm periods, units, scope, and measure definitions.
For each figure, provide its source table or page and exact label.
Show formulas and distinguish calculated observations from explanations requiring evidence.
List discrepancies and missing information. Do not recommend an investment or approve the analysis.

Recreate the important calculation in a spreadsheet you control. If the percentage changes, check whether the denominator is correct and whether a zero or negative starting value makes the comparison misleading. Inspect totals and a few individual rows rather than checking only the final headline number.

For scenarios, label every changed input as an assumption. A hypothetical sales increase is a planning choice, not a forecast validated by the assistant. Show what stays fixed, what changes with volume, and which relationships need a finance reviewer’s judgment.

Where must human judgment remain in control?

Use the analysis to prepare a review conversation. A larger reported expense does not establish its cause, and a ratio does not decide whether a transaction or investment is appropriate. Ask the reviewer which missing notes, accounting treatments, or business events could materially change the interpretation.

For investment decisions, the joint SEC, NASAA, and FINRA investor alert↗ (opens in a new tab) warns against relying solely on AI-generated information. Verify original evidence and consult a registered investment professional where advice is needed. This workflow is educational and does not provide personalized investment, tax, or accounting advice.

How to do this with fenbs?

1. Create a free account and add a project with the financial question and reporting scope.
2. Record source references and versions in Links and listings, using only information approved for that workspace. Keep confidential files in their authorized system.
3. Record people’s approved assumptions in Decisions and rules. Add tasks for reconciliation, qualified review, and unresolved questions.
4. Connect your supported assistant through Integrations. Ask it to read the project context first and save checked results and the next review step before stopping.

fenbs does not perform accounting, verify financial statements, or replace a financial model. It is not the right fit when you only need calculations from one workbook. It helps when the same analysis returns next month and the team needs its approved assumptions and outstanding checks.

Continue in the AI at work library, or read ChatGPT for business for organizational context. Copilot vs ChatGPT and Claude vs ChatGPT address the separate choice of assistant.