AI Business Reports: Sources, Calculations and Review
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A useful AI business report lets a reviewer trace each important conclusion to a source and reproduce the calculations behind it. Start with the decision the report must support, then build an evidence table before asking for polished prose.
This workflow is for a recurring business review, supplier comparison or research summary. If you already have approved text and only need a document, start with the AI document creator. If you still need to gather and compare evidence, start with the AI research agent.
Define the decision and the evidence boundary
Write down the audience, reporting period, business question and required output. “Summarize our business” gives the model too much room to invent priorities. A better brief is: “Explain why gross profit changed between Period A and Period B, using only the supplied revenue and cost records.”
Keep a list of what is unavailable. An absent expense schedule means the report cannot establish net profit. An undated supplier page cannot establish the terms that applied last quarter. These gaps belong in the report.
For uploaded documents, first confirm what text and tables were extracted. A model's advertised context window does not establish that every page, scanned table or attachment reached the task intact. The GPT-4.1 guide explains this distinction and provides a document-comparison prompt.
Turn the useful parts into next steps
Vife Agent can convert this guide into a prioritized workflow with tasks, risks, and reusable prompts.
Build a source ledger before drafting
Use a small table that survives into the review package:
| Source ID | What to record | What the reviewer checks |
|---|---|---|
S1 | Revenue file, period, unit, owner and relevant rows | Both periods use the same revenue definition |
S2 | Cost-of-goods-sold file and relevant rows | These are production costs, not all operating expenses |
S3 | External source URL, publisher, publication date and relevant passage | The source supports the specific claim and is current enough |
S4 | Assumptions or missing information | Each assumption is visible and has an owner |
Cite the relevant section or row, not just a document name. For external research, distinguish a company's claim from an independently verified result. If two sources disagree, retain both accounts and explain which definition or time period differs.
A worked example you can check
The following numbers are an illustrative dataset created for this guide. They are not Vife customer results or an AI model benchmark. The arithmetic was independently checked for this editorial review.
| Measure | Period A | Period B |
|---|---|---|
Revenue, in the same currency units | 12,000 | 13,200 |
Cost of goods sold | 7,600 | 9,000 |
Gross profit | 4,400 | 4,200 |
Gross margin | 36.67% | 31.82% |
The calculations are:
- Gross profit = revenue − cost of goods sold.
- Gross margin = gross profit ÷ revenue × 100.
- Revenue growth = (13,200 − 12,000) ÷ 12,000 = 10%.
- Gross profit growth = (4,200 − 4,400) ÷ 4,400 = −4.55%, rounded.
- Gross margin change = 31.82% − 36.67% = approximately −4.85 percentage points.
A defensible conclusion is: revenue increased, while gross profit and gross margin declined because cost of goods sold increased faster than revenue. The data does not tell us why those costs increased. It also does not establish net profit, cash flow or customer retention.
Reject a draft that says “profit increased by 10%.” It has substituted revenue growth for profit growth. Reject “margin fell by 4.85%” if it means a change in percentage points.
Use a prompt with reviewable outputs
Using only source records S1 and S2, prepare a one-page operating review. Include an evidence table, the formulas for revenue growth, gross profit and gross margin, and a short interpretation. Cite source IDs beside numerical claims. Separate observations from possible explanations. Mark missing information explicitly. Do not infer net profit or the cause of cost increases. Finish with three questions for the finance reviewer.
For a model-level calculation example, see the DeepSeek R1 guide. Evaluate the model actually available to you on the same inputs, and record corrections as well as successful answers.
Review before formatting
Check all figures against the original records, including signs, units and rounding. Recalculate every number used in the executive summary. Confirm that recommendations follow from the evidence; a plausible recommendation is still a proposal.
Then review the wording. “Supplier B is cheaper” needs the same scope, quantity, currency and renewal period for both suppliers. “The market is growing” needs a defined market, period and source. Replace unsupported certainty with the specific evidence gap.
Once the content is approved, prepare the final document using the formats offered in the workspace. Reopen the exported file and check table wrapping, page breaks, headings and source links. A correct draft can still become difficult to review after export.
Keep the report reproducible
Save the input versions, approved prompt, source ledger, calculation checks and final file together. Record the review date and the person responsible for approval. Do not change the original reporting period simply because the text was revised.
The research-to-business-report playbook provides the related workflow. The NIST Generative AI Profile is a broader reference for evaluating and managing generative AI risks; following this checklist is not a claim of NIST certification.
Sources and worked-example arithmetic reviewed on September 8, 2026.