How to Properly Test an AI Spreadsheet Assistant Before Trusting Its Numbers

A practical guide urges users to test spreadsheet AI tools against questions with already-known answers before relying on them for real business analysis. The recommended method involves creating a sanitized copy of an actual workbook — retaining messy real-world details like blank rows, duplicate IDs, and ambiguous labels — then running at least ten pre-verified questions. Testers should evaluate not just whether the final number looks correct, but whether the AI used the right range, filters, and definitions to arrive at it. The guide also compares tools across ecosystems, including Excel Copilot, Google Sheets AI, WPS AI, Teable, and AI SQL translators, noting that the best choice typically depends on where the data already lives. A core principle applies across all tools: the AI proposes a formula or query, but the human remains responsible for verifying the result.