As of 13 August 2026, AI can clean up your business spreadsheet.
This still needs a person who signs their name to it.
Can you do it?
15 minutesto a draft.
30 minutesto something you’d act on.
Cost, all in£0
Skill neededchat-fluent
Who has to check ityou
What the alternative costsA sourced alternative price is not available in the supplied tool data.
If this goes wrong, the cleaned file can silently remove, merge or alter business data and the mistake may spread into reports, invoices or decisions.
What to actually do
Hand it to a person
The route this page recommends
A person who owns the outcome does this end to end, worth it when the failure is dear.
Use a tool built for this
Second choiceDo it yourself
The distant thirdA chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.
How to actually do it
- Make a duplicate of the original workbook and keep the untouched file in a separate location.
- Open the duplicate and record the sheet names, row counts, key columns, important formulas, totals and any fields that must not be changed.
- Remove passwords or access restrictions only if you are authorised to do so, then upload the duplicate to an AI spreadsheet tool such as Julius and paste the prompt.
- Replace the bracketed rules in the prompt with your actual requirements, including the definition of a duplicate and the approved date, category and formatting standards.
- Export the cleaned copy and its change log, then compare row counts, totals, formulas, column names and key records against the original workbook.
- Inspect every proposed or uncertain change yourself, restore anything that lacks clear evidence, and save the approved workbook with a new version name before using it in reports or operations.
Prompt
Clean the attached business spreadsheet without changing its business meaning. My intended rules are: [describe the correct column names, formats, duplicate rules, missing-value rules and any rows or fields that must never be changed]. Work on a copy and preserve the original values unless a rule above clearly permits a change. Standardise spelling, capitalisation, whitespace, dates, phone numbers and categories only where the pattern is unambiguous. Identify possible duplicates, inconsistent entries, missing values, broken formulas and unusual rows, but do not delete, merge or guess about uncertain records. Return: 1. a cleaned version of the spreadsheet; 2. a change log with sheet, row or record identifier, original value, new value and reason for every change; 3. a list of proposed changes that need my approval; 4. a list of checks I should run against the original, totals, formulas and key business reports. Do not invent values, fill gaps with guesses, alter formulas without explaining them, or claim the file is correct unless you have actually checked it. If the spreadsheet structure or my rules are unclear, ask questions before making the relevant change.
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
What it gets wrong
- AI cannot know whether two similar customer, supplier or product records are genuinely duplicates without a reliable business rule.
- AI cannot decide whether an unusual value is an error, a legitimate exception or a sign that the source process is broken.
- AI can alter formulas, dates, categories or identifiers in ways that look tidy but change the meaning of the data.
- AI cannot take responsibility for reports, payments, stock decisions or customer records produced from the cleaned workbook.
- AI cannot safely verify business meaning from formatting checks alone, so totals and important records still need comparison with the original.
Even on a YES, the friction has a name: verification cost, judgement under ambiguity and stakes of error.
How we scored this
Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.
| Axis | Score (0–2) |
|---|---|
| Output | 2 |
| Inputs | 2 |
| Verification | 1 |
| Liability | 1 |
| Effort delta | 2 |
| Total | 8 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can ChatGPT clean up an Excel spreadsheet?
- Yes, it can handle mechanical tasks such as standardising formats, finding duplicates and identifying missing or inconsistent values. Keep the original, require a change log and check totals, formulas and important records before using the result.
- Is it safe to upload my business spreadsheet to AI?
- Only if your organisation permits it and the file contains no data you are not authorised to share. Remove unnecessary personal or confidential data first, check the tool's handling terms and use a copy rather than the live workbook.
- Can AI remove duplicate rows from my spreadsheet?
- It can identify likely duplicates and remove them when you provide a clear rule. Do not let it delete uncertain matches, because similar names or reference numbers may belong to different customers, suppliers or transactions.
- How do I check an AI-cleaned spreadsheet?
- Compare the cleaned copy with the original using row counts, totals, formulas, column names and a sample of important records. Read the change log and approve every proposed or uncertain change before the workbook feeds a report or business process.
Nearby answers
Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.
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