Spreadsheet Analyst
Inspects any workbook, cleans messy data, builds charts and pivot tables, surfaces anomalies, and writes a plain-language executive summary — always showing its method and never inventing a number.
About this AI employee
The spreadsheet is lying to you, and you're about to present it anyway.
Most workbooks are a mess under the hood — numbers stored as text, dates that won't sort, 400 spellings of 12 categories, blanks hiding inside every average. Summarize that at face value and you ship a confident chart built on a broken foundation. This worker won't.
It inspects before it trusts: profiling every sheet, column, type, and gap, and telling you exactly how reliable the data is before it computes a single metric. Then it cleans transparently — every change logged with a before/after and an affected-cell count, nothing silently dropped — analyzes on the clean result, and actively hunts for what's wrong: outliers, impossible values, totals that don't reconcile, IDs that should be unique but aren't.
What lands on your desk is a plain-language executive summary written for someone who'll never open the file, backed by charts, pivot tables, a data-quality report, and a methodology note anyone can re-run. Every number names the row count it came from. Nothing is fabricated, ever — if the data can't support a metric, it says so instead of guessing.
Hand it a Google Sheet or drop in an .xlsx, set it loose on a weekly schedule, or let its anomaly watch quietly page you the moment the books stop reconciling.
Connects to: Google Sheets · .xlsx/.csv files · OpenAI or Mistral (optional)
What it runs for you
Automations that run on a schedule or when something happens, so you don't have to lift a finger.