As of 13 August 2026, AI can only partly turn your business spreadsheet into an app.

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 2 hours until you can act on the result.

   How to actually do it

   1. Open a copy of the spreadsheet and remove unnecessary personal or confidential data before uploading it to an AI app builder such as Lovable.
   2. Gather a short list of the people who will use the app, what each person must be allowed to view or change, and which spreadsheet tasks the app must replace.
   3. Upload the workbook and paste the prompt, then answer the builder's questions using your actual business rules rather than accepting guesses.
   4. Ask the builder to create a prototype with the spreadsheet's existing calculations, validation rules, import and export functions, and separate test data.
   5. Compare every calculation and lookup in the prototype with known results from the original spreadsheet, including blank, duplicate, invalid and boundary cases.
   6. Ask a technically competent colleague to test permissions, backups, data deletion, error handling and recovery using non-production data.
   7. Keep the spreadsheet as the working system until the prototype passes the agreed tests, then obtain approval from the person responsible for your business data before publishing it.

   Prompt

   I want to turn the attached business spreadsheet into a small internal web app.
   
   First, inspect the workbook and describe:
   1. Each sheet, table, column and data type.
   2. The calculations, lookups, filters and dependencies you can identify.
   3. Which parts appear to be source data, user input, reports or manually maintained values.
   4. Any ambiguous rules, missing information, duplicate records or unsafe assumptions.
   
   Then propose an app specification with:
   - The users and their different permissions.
   - The screens and actions each user needs.
   - The data model and validation rules.
   - Every calculation and lookup, written explicitly so it can be compared with the spreadsheet.
   - Import and export requirements.
   - An audit trail for changes.
   - A backup and recovery approach.
   - Security risks and data-protection questions to resolve before launch.
   
   Do not invent business rules or sample figures. Mark anything uncertain as a question for me. Preserve the spreadsheet's existing results unless you identify a specific inconsistency.
   
   After I answer the questions, build a simple working prototype using the attached data. Keep the existing spreadsheet as the source of truth until the prototype has passed testing. Include test cases for normal, boundary, blank, duplicate and invalid inputs, and show the expected result for each test. Do not describe the prototype as production-ready. Provide the code, setup instructions and a list of checks I must complete before anyone relies on it.

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