As of 13 August 2026, AI can check your business data for errors.
This still needs a person who signs their name to it.
Can you do it?
5 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 purpose-built alternative is Akkio, described as a no-code AI analytics and prediction tool for business data; no price is supplied here.
If this goes wrong: a real error is missed or a valid exception is changed, and the resulting report or decision is wrong.
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
- Open a copy of the spreadsheet and remove columns that the checking service does not need, especially passwords, payment details and unnecessary personal data.
- Write down the meaning, expected format and allowed values for each column, including the key that should make each record unique.
- List the business rules that can be tested, such as required fields, valid date ranges, permitted categories and how totals should calculate.
- Paste the data, column notes and rules into an AI data-analysis tool, then use the prompt to request separate definite violations and human-review items.
- Export or copy the flagged-record table and compare each item with the original spreadsheet and the relevant source system before changing anything.
- Correct confirmed errors in a new version, rerun the same checks, and ask a colleague who knows the process to inspect unresolved exceptions before using the data for reporting or decisions.
Prompt
Check the business data below for likely errors. Do not silently change any value and do not claim that a value is wrong unless the evidence supports that conclusion. First describe the columns and data types you infer. Then check for duplicate records, missing or blank values, inconsistent spelling or formatting, invalid dates, impossible or out-of-range values, broken totals, suspicious outliers and conflicts with these stated rules: [PASTE THE BUSINESS RULES HERE]. Return a table with these columns: row or record identifier, column, observed value, issue type, reason, confidence, and suggested check. Separate definite rule violations from items that merely need human review. State which checks you could not perform because information or source data was missing. Use only the data and rules supplied here. Do not invent replacement values. Data: [PASTE THE DATA HERE]
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
What it gets wrong
- AI cannot know that an unusual value is wrong without the business context or an authoritative source.
- It cannot reliably distinguish a legitimate exception from a data error when both look similar in the spreadsheet.
- It cannot confirm that the uploaded file is complete or that the rules you supplied are still current.
- It may miss errors caused by a broken data feed, incorrect permissions or a system outside the file it can inspect.
- You still have to approve corrections and carry the consequences of using the resulting data.
Even on a YES, the friction has a name: judgement under ambiguity, verification cost and private data access.
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 AI find mistakes in an Excel spreadsheet?
- Yes. It can flag duplicates, blanks, inconsistent formats, invalid values, broken totals and unusual records when you provide the relevant rules. Check every flag against the original data before changing it.
- Can AI check my data for duplicates and missing values?
- Yes, provided you identify the record key and explain which fields are required. It can report likely duplicates and missing values, but it cannot decide whether two similar records should be merged without your business context.
- Is it safe to upload my business data to AI?
- Only use a service approved for your organisation and remove unnecessary personal, financial and confidential information first. Check how the service stores and uses uploads before submitting the file.
- Can AI guarantee that my business data is accurate?
- No. AI can test the patterns and rules you give it, but it cannot guarantee that the source data is complete, current or factually correct. A person with process knowledge must confirm important exceptions and corrections.
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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