Spreadsheets & data.

Turn a monthly CSV export into a one-file dashboard colleagues can filter without a spreadsheet, then check its row count and totals against the file.

Ask AI who is available from a spreadsheet rota, keep blank cells as unknown, and check overlaps and end times before you rely on the answer.

Turn per-user, per-pack and per-year quotes into one comparison for your real quantity and period, with missing fees kept visible.

Before ChatGPT, Claude, Copilot or Gemini joins two files, confirm what the key columns mean, then check the row count so a duplicate doesn't double your total.

Tell AI which groups overlap, keep the real denominator and catch the pie chart that counts the same people twice.

Ask AI what each number measures before it compares them, so weekly and monthly, opened and closed, or FTE and headcount don't get treated as the same thing.

Save the monthly question in a project or note, attach each new export, and catch last month's figures before they reappear as this month's answer.

Tell AI what a blank month means, keep real zeros as zeros and make the chart break the line where nobody measured.

Before you rely on an AI calculation you'll repeat, test it on four rows you can work out yourself, including a zero, a blank and a duplicate.

Ask Power BI Copilot or Tableau Pulse one question, then check the measure, filters and dates it used before you quote the number.

Define the calculation before Claude builds the workbook, then open the .xlsx, read the formula and change an input to prove it's live.

Ask AI for a small spreadsheet with one set of editable inputs, base, low and high cases and a break-even, then test that every case recalculates.

Split a forecast note into claims, match each to dated deal records and turn the gaps into specific questions before the forecast call.

Ask ChatGPT for a real .xlsx with editable inputs and formulas, then open it and change an input to check the total follows.

Extract a small invoice batch into a table, check every key field against the documents and reconcile it to the ledger in both directions.

Set up Basic AI Autofill on one property, run it on a sample, and check the rows against the pages before you let it fill hundreds.

Draft a six-sentence note from checked dashboard figures, keeping causes, requests and completed actions separate.

Check the conversations behind a topic, separate causes from hypotheses and propose one change with a useful measurement plan.

Split the auditor's request list into one row per deliverable, add owners and a definition of done yourself, and send the unclear items back as questions before anyone starts searching.

Ask Gemini in Google Sheets for a total that says Incomplete while a value is missing, then check the formula still works when the table grows.

Use AI to list every decision two rival numbers disagree on, have the owner settle each one, then try to break the one-page definition before you publish it.

Apply explicit change thresholds, check every classification and report missing rules instead of inventing a headline.

Build a checked profit-variance table, add supported causes and draft commentary without inventing an explanation.

Upload a sales CSV, get a plain-English answer, then check the total and the rows behind it before you use it.

Upload survey comments, ask ChatGPT for themes with counts and examples, then check the comments and the denominator behind each finding.

Describe the calculation in ordinary words, put the candidate formula in a copy of your sheet and test it on rows whose answers you already know.

Upload the quotes, say what you need and get a like-for-like comparison that accounts for pack minimums, missing costs and delivery dates.