Claude for Financial Analysis: From Sources to Checked Claims

Use Claude for financial analysis by giving it approved source documents, a precise question, and explicit calculation rules, then checking its figures and conclusions against those sources. It can help produce an organized draft; a reviewer still needs to establish that the analysis is sound.

Tools like fenbs keep the approved assumptions and unfinished checks outside the conversation, so another assistant can continue without quietly changing the basis of the analysis. Keep sensitive workbooks in your organization’s approved storage and save only appropriate project context.

How do you start a financial analysis Claude can follow?

1. Define one question and its audience. For example, explain a change in operating margin for an internal planning discussion, rather than asking for a complete opinion on a business.
2. Collect the approved source files and identify the periods, currency, scale, and reporting basis. Keep the original files unchanged.
3. Ask Claude to extract a source table before interpreting it. Require document locations and a list of missing or ambiguous figures.
4. Agree on formulas and assumptions, then request calculations with a visible audit trail: inputs, transformations, and outputs.
5. Recalculate important results independently, review the narrative, and save the remaining questions and human approvals before ending the session.

Anthropic documents file creation and code execution↗ (opens in a new tab), including downloadable spreadsheets and analysis of uploaded data. Check the current setup for your account before planning the work. Our introduction to Claude covers the general assistant; this workflow focuses on financial evidence and review.

Start with one period comparison you already understand. If you cannot explain the expected calculation yourself, bring in someone who can review it before using the result. A convincing spreadsheet layout is not evidence that its accounting treatment matches your question.

Which documents and assumptions should you provide?

Supply enough context to distinguish reported facts from estimates. For public-company research, the SEC’s EDGAR search↗ (opens in a new tab) provides access to company filings. Identify the particular filing, reporting period, and relevant financial statement or note; do not ask the assistant to reconstruct figures from memory.

Anthropic’s upload guidance↗ (opens in a new tab) lists supported document types and explains the setup for workbook uploads. Use those current requirements rather than converting a complex workbook into a screenshot. Regardless of format, ask Claude to confirm what it actually read before it interprets the contents.

• Scope: company or business unit, question, audience, and intended use.
• Period: fiscal dates, whether figures cover a quarter or cumulative period, and any restatement.
• Units: currency, thousands or millions, and whether percentages are stored as fractions.
• Definitions: the specific numerator and denominator for every requested ratio.
• Assumptions: who approved each estimate, its reason, and whether it is still open.
• Boundaries: information that must stay out of the chat and outputs requiring specialist review.

For example, comparing a six-month cumulative cash flow figure with a single-quarter income figure can produce a mathematically neat but misleading ratio. Tell Claude to flag such mismatches instead of choosing a convenient interpretation. A source table should expose those differences before calculations begin.

What should you ask Claude to extract before calculating?

Ask for a narrow evidence table with one row per input. Each row should name the metric, original value, units, period, source location, and any qualification. Require an explicit “not found” when the source does not provide an input; filling a gap is an assumption that needs a person’s approval.

Use only the approved files attached to this conversation.
Question: What explains the change in operating margin between the two specified fiscal periods?
First extract revenue and operating income with document, page or sheet, period, and units.
Do not combine reported and adjusted measures. Flag missing data and restatements.
Wait for my confirmation of the source table before calculating or writing conclusions.

Open the cited locations and compare the numbers, labels, and signs. Read the surrounding note when a figure has a qualification. Checking the location matters as much as checking the number: the same label can describe a segment, the consolidated company, or an adjusted presentation.

Once a person approves the reporting basis, preserve it in Decisions and rules so later sessions use the same definitions; how fenbs works explains that shared starting record.

How do you verify calculations and generated workbooks?

Check the model from inputs outward. Recompute a few important results in your usual spreadsheet or another approved calculation tool. Inspect whether a generated workbook contains formulas where you expect formulas, and whether those formulas reference the intended cells rather than convenient totals.

In a hypothetical example, revenue rising from 100 to 110 is 10% growth. An operating margin rising from 20% to 22% increases by two percentage points. Ask the assistant to state both the measure and the units so a correct calculation does not become an ambiguous sentence.

Keep explanation separate from causation. A margin change and a staffing change in the same period do not, by themselves, prove that one caused the other. Ask what evidence supports each explanation and label unsupported explanations as possibilities requiring follow-up.

What belongs in the review and handoff?

Save the question, approved source versions, calculation definitions, checked outputs, and unresolved issues. Name the person who must review the result before it reaches its intended audience. An assistant can record that person’s choice, but it should not turn its own suggested assumption into an approved financial conclusion.

A useful checkpoint might say: “Source extraction checked for both periods; margin recomputed; segment comparison still waiting on a reporting-basis decision.” That lets the next session continue at the unresolved issue. “Analysis finished” would conceal the most important remaining work.

Use the AI handoff workflow to preserve that distinction when a conversation or reviewer changes. The neighboring Claude data analysis guide covers general dataset cleaning and validation rather than financial reporting assumptions.

How to do this with fenbs

1. Create a free account, free for one person with no credit card, and add a project describing the analysis question and review audience.
2. Write the approved definitions and assumptions in Decisions and rules. Keep a proposed assumption open until a person chooses it.
3. Add tasks for extraction, calculation checks, and narrative review. Point to approved source locations without copying confidential financial records into task notes.
4. Connect a supported assistant using the integration guides. Ask it to read project context before work and save progress with what was checked, what remains, and who must review it.

fenbs does not calculate financial models or validate accounting judgments. Your spreadsheet, source repository, and qualified reviewers remain necessary. It fits the decisions and continuity around the analysis; a one-off calculation with no continuing work may need only your normal spreadsheet.

If you need to build an application around the model, the guide to using Claude in your own software covers that separate route. Find more practical assistant workflows in the AI at work collection.