The Whole Workbook
Every sheet, not the first one. Merged cells, a header three rows down, and the formulas sitting in the cells all get read rather than flattened away on import.
A wrong formula does not throw an error. It hands you a number that looks right, and the sheet goes out.
A workbook is not a table — it is several, plus the formulas tying them together. Reading all of that, checking what it already claims, and giving it back as a file is the sequence below.
Every sheet, not the first one. Merged cells, a header three rows down, and the formulas sitting in the cells all get read rather than flattened away on import.
Totals whose range stops short of the data, one cell in a column doing something different from its neighbours, a summary tab that disagrees with the detail — each flagged at the cell.
The findings and any new calculations come back written into an .xlsx, in the sheet they belong to — so the thing you forward is a file, not a transcript of a conversation.
Three steps from a workbook you inherited to one you would put your name on.
Send the file as it is. Point out anything you already suspect, and say which tab matters most if it is not obvious.
It opens every sheet, reads the formulas as written, recalculates the figures independently, compares the two, and lists where they part company.
Open the marked cells and decide what to do about each. Save the run as a Playbook so next month's version of the same workbook gets the same pass.
The AI tools write formulas. The audit add-ins check them. Nothing does both.
A divide-by-zero shows up as an error and gets fixed. A SUM whose range stopped one row short of the data shows up as a number — slightly smaller than it should be, entirely plausible, and carried into every figure built on top of it.
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The AI spreadsheet tools treat the upload as one flat table and lose the formulas, which is why they can answer questions about the data but nothing about the sheet. The dedicated audit add-ins keep the formulas and know nothing about what you are trying to work out.
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Nothing in your workbook is edited on your behalf. A flagged cell might be a mistake or might be the one deliberate exception everybody knows about, and only you can tell which. Anything written back goes in as a marked finding, never as a silent correction.
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Most of these workbooks come round again — the monthly close, the quarterly roll-up, the same template. Which checks matter and which exceptions are deliberate are worth recording once. Your AllyHub never starts from scratch again, so the version that arrives in four weeks gets faster every time.
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Finance teams closing the month, anyone handed a model they did not build, people sending a sheet outside the company, and audit teams.
The close runs on a workbook that has been added to for three years, and the figure at the bottom is the one going into the report with your name near it. Reading every formula by hand is the only real check available, and there is never time for it.
You have been handed a file, told what it does, and asked for a number out of it by Thursday. The person who built it has left, the tabs are called Sheet4 and Final_v2, and you are now responsible for whatever it says.
A sheet going to an investor, a client, or a regulator will be opened by someone who has every reason to check the arithmetic. Finding the problem before they do is worth considerably more than finding it after.
Testing whether a workbook computes what it claims to compute is the job, and most of the work is mechanical — tracing ranges, comparing a summary against the detail underneath it, looking for the one cell that breaks a pattern.
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Four questions about the checking, and one about when to use the other tool.
Broadly, getting something useful out of a spreadsheet: summarising it, finding patterns, producing figures someone will act on. The part usually left out is verifying that what the sheet already calculates is correct, which matters because most of the numbers in a working file were produced by formulas somebody wrote in a hurry.
Yes, for one workbook. Large files, several related workbooks in a single pass, and keeping the check so next month's version is treated identically are what the paid plans add.
The ones that produce a plausible number rather than an error: a total whose range no longer covers the rows underneath it, one cell in a column calculated differently from the rest, a summary figure that does not match the detail it claims to summarise, a reference pointing at a sheet that has since been rearranged. It will not claim to have found everything — no check can — but these are the ones that get through.
Not without you. Your workbook returns with findings written in alongside, so you can see each one in place and act on it. Nothing is silently rewritten — an automated fix nobody reviewed is exactly the failure this page exists to catch.
That one is for when you have data and want to know what it says: upload, ask in plain English, get computed answers and charts back. This is for when you already have a workbook full of calculations and need to know whether to trust them. If the question is about the data, start with the AI Data Analysis Tool; if it is about the sheet, you are in the right place — and the checks you settle on here carry to next month's file rather than being specified again.