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AI can draft Excel formulas. It cannot own the number
Most teams treat ChatGPT as a quieter analyst who happens to live in a browser. It will draft a SUMIFS, propose an INDEX and MATCH, and narrate last month's regional workbook as if it had opened the file. It has not. The numbers still run in Excel. Your method is to describe the columns, ask for a formula, paste that formula into a copy of the sheet, and compare the result with a figure you already trust from the system of record. If the two disagree, the chat is wrong. Keep facts in cells. Keep hypotheses in comments. Never let a fluent explanation become the source of a number you will say in a meeting.
The usual failure is a paste of headers plus the instruction analyse this. ChatGPT fills the gaps with a named range that does not exist, a VAT flag it inferred from a column title, or a prior-year comparison drawn from training data rather than your close pack. A regional sales manager then quotes the chat in the ops call. Finance spends the afternoon proving the ledger never showed that total. The model was trying to be complete. Completeness without the file is how a hypothesis becomes a reported figure. You stop that by refusing any number that does not calculate in the workbook in front of you.
This essay is a method for using AI on Excel work you already own: formula drafts, explanation of a messy sheet, and a second pair of eyes on a check you can rerun. It is not a way to skip the workbook. If you cannot open the file, you are not doing spreadsheet analysis. You are reading a paragraph about a spreadsheet that the model cannot see, and that paragraph will still sound finished. A named person still signs the number. ChatGPT does not. That split is the whole method.
If you cannot point to the cell that produced the number, you are not analysing a spreadsheet. You are quoting a chat. Put the figure back in Excel first.
Facts in cells, hypotheses in comments
Give ChatGPT the job Excel is bad at: turning a messy question into a formula shape. You keep the job Excel is good at: calculating against live ranges. Paste column names, two sample rows, and the decision the number must support. Ask for a formula, the ranges it assumes, and the ways it could double-count. Then you run it. A hypothesis belongs in a comment: maybe returns are sitting in the same column as gross sales. A fact belongs in a cell that a colleague can audit without opening your chat history. Mixing those two is how last quarter's commentary picks up a total nobody can rebuild.
Approved in-spreadsheet copilots change the paste risk, not the ownership. If the tool sits beside the sheet and your administrator allows that data class, you may ask it to propose a formula next to the table. You still read the range. You still check the filter. You still compare with the signed number from last period. Consumer ChatGPT does not get a live customer workbook. A screenshot of totals is not a control. If the file is restricted, neither tool is a workaround. You do the analysis in the environment that already holds the ledger.
| Spreadsheet job | Let AI draft | You run and own |
|---|---|---|
| Formula from a plain-English ask | SUMIFS, INDEX MATCH, a check | Paste into a copy and compare totals |
| Explain a messy sheet | What each column appears to do | Confirm against the data dictionary |
| Find a possible anomaly | A list of rows to inspect | Open those rows in the source file |
| Chart or pivot suggestion | A structure and a title | Build it on the real range |
A formula brief that you then run in Excel
Write the brief before you generate. Name the workbook, the sheet, the columns, and the decision. Paste only headers and sample rows you are allowed to paste. Ban invented ranges. Ask for the formula, the assumed filters, and a three-step check you will perform in Excel: recreate the total with a simple SUM on a filtered copy, compare with last month's signed figure, and read one row that should be excluded. Generate once. If the model names a table you did not paste, stop. That draft is fiction. Do not complete the fiction from memory so the chat looks useful.
Keep a short library of briefs that survived a real close: month-on-month movement, cohort count, VAT-inclusive versus exclusive, a reconciling check against the subledger. Edit those briefs. Do not start from analyse this every Tuesday. When the formula works, save it in the workbook with a comment that states the question and the date you tested it. The chat is disposable. The tested formula is the asset. If a colleague cannot rerun it without you, you do not yet have an analysis. You have a private trick that will break the week you are away.
Role: You are a spreadsheet analyst who refuses to invent figures.
Task: Draft Excel formulas from the column names and sample rows I paste.
Context: Workbook, sheet, and the decision the number supports.
Constraints:
- If a column is not in the paste, write [missing] and stop. Do not invent a named range.
- Separate hypotheses from formulas that can be run in Excel.
- Do not output a board-ready number. Give a formula and the check to run.
Output: Formula, assumed ranges, and a three-step workbook check.
Quality checks: How this formula could double-count, drop a filter, or pick the wrong period.Paste the formula into a copy of the workbook, not into the live close file. Compare the result with last month's signed number and with a total you can see without the new formula. If ChatGPT named a range that does not exist, that is a failed draft, not a puzzle for you to finish from memory. Save the brief that produced a formula you kept. Delete the chat that invented a range.
When a fluent formula is still the wrong calculation
The dangerous output is not a formula that errors in Excel. Those you notice. The dangerous output is a formula that runs and quietly includes the wrong period, the internal transfers, or both the parent and the child rows. ChatGPT will also explain the sheet in a way that skips the footnote on returns. A reader of the explanation will think the logic is settled. Your review is not whether the English is clear. Your review is whether the range matches the data dictionary and whether one excluded row is in fact excluded. Open that row. If you skip that, you have only tested fluency.
Do not chain chats. A formula rewritten from an earlier invented range is a party game. Go back to the headers. Do not ask the model for the market growth rate to sit beside your Excel total. That figure will look like part of the same analysis. It is not. It is an unsourced guest in your commentary. If a director asks where the number came from, the answer must be a cell, a system extract, or a named human who calculated it. Chat is not an acceptable origin for a reported total.
| Mistake | What it looks like | What to do instead |
|---|---|---|
| Analyse this | Headers and a wish | Columns, decision, formula, then run it |
| Invented range | Table Sales_FY in the chat | Only names that exist in the paste |
| Chat as source | Quoted in the ops call | Cell reference and a signed comparison |
| Live-file paste | Customer workbook in consumer chat | Approved tool or no AI on that class |
A formula that looks right in a paragraph can still double-count a region or drop VAT. Run it in a copy of the sheet. Then read the total against the source system.
Related reading on StudyGrid
Read next: AI for Data Analysis How to Fact-Check ChatGPT How to Use ChatGPT at Work. Those essays sit beside this one. Use them when you need the neighbouring skill, not as a substitute for the check you still have to make.
What to do this week
Take one repeating Excel job you already own, such as a weekly regional total. Write a brief with column names and the decision the number supports. Generate one formula. Paste it into a copy of the workbook, not the live close file. Compare with last week's signed number and with a simple filtered SUM. Keep the brief only if the formula survived both checks. That is AI for Excel as a habit, not as a demonstration for a lunch-and-learn.