As of 13 August 2026, AI can create a report from your accounting software data.

What to actually do

1. Hand it to a person

   The route this page recommends

   A person who owns the outcome does this end to end, worth it when the failure is dear.

2. Use a tool built for this

   Second choice

3. Do it yourself

   The distant third

   A chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.

   How to actually do it

   1. Open your accounting software and export the relevant profit and loss, income, expenditure or transaction data for the reporting period, including a comparison period if you need one, as CSV or spreadsheet data.
   2. Remove passwords, bank login details, payment card numbers and unrelated personal data, then keep the column headings and note the currency, date range and accounting basis shown by the software.
   3. Write down the report audience, purpose, reporting period, comparison period and the definitions of any internal measures such as gross margin, recurring revenue or cash collected.
   4. Paste the data and the reporting brief into the prompt, or upload the spreadsheet to a data-analysis AI tool that accepts files, and ask it to produce the report and verification checklist.
   5. Compare every headline total, date range and variance in the draft with the corresponding totals and report settings in the accounting software, correcting the draft where they do not match.
   6. Open the source transactions behind each large or unusual movement and replace any unsupported explanation with a clearly labelled question for your bookkeeper or accountant.
   7. Send the checked report to the intended audience with its reporting period, data limitations and unresolved questions attached.

   Prompt

   Create a management report from the accounting data below.
   
   Reporting period: [MONTH, QUARTER OR YEAR]
   Comparison period, if available: [COMPARISON PERIOD]
   Audience: [DIRECTORS, MANAGERS OR OTHER AUDIENCE]
   Purpose: [THE DECISION OR QUESTION THIS REPORT SHOULD SUPPORT]
   Currency: GBP unless the data states otherwise.
   
   Data:
   [PASTE THE EXPORTED CSV OR TABLE HERE]
   
   Instructions:
   1. Start by describing the columns, date range, currency and apparent level of completeness. State any assumptions and missing fields before analysing the data.
   2. Reconcile the key totals to the supplied rows where possible. Do not invent figures, categories, transactions or explanations.
   3. Produce a concise report with an executive summary, income and expenditure or profit and loss view, cash-related observations only if the data supports them, material movements, useful charts or tables, and questions requiring investigation.
   4. Compare the reporting period with the comparison period where both are present. Show the calculation behind each percentage or variance.
   5. Distinguish reported facts from interpretation. Flag unusual, duplicated, missing or contradictory records rather than silently correcting them.
   6. Do not give tax, accounting, legal or investment advice. Do not state that the data is complete or accurate unless the supplied data proves that.
   7. Finish with a verification checklist naming the source rows or totals I should compare against the accounting software before sharing the report.
   
   Use plain British English and write for the stated audience.

   Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.