Why it matters
The information you need is usually already sitting in a spreadsheet, just in an unusable shape. Cleaning it is what stands between you and the answer, and that is exactly the part AI is fastest at.
The bigger shift is in what you start asking. When the answer to a question about your own data costs ten minutes instead of an afternoon, you begin asking the questions you used to let slide, and that is usually where the useful decisions come from.
How it works
- Drop in the messy file: duplicate rows, jumbled columns, wonky dates.
- AI dedupes, splits and reformats it into something usable.
- Ask it "which clients haven't ordered since March?" and get the answer.
What changes day to day
You drop the export in exactly as it comes out, mess and all. Duplicate rows get merged, names and addresses get split into proper columns, dates get put into one format. Then you ask it things in plain English: who has not ordered since March, which jobs ran over, what your busiest month was. No formulas, no pivot tables, no fighting the software.
This is for you if
- Your business quietly runs on one fragile, much-loved spreadsheet.
- You avoid questions about your data because the answer means an afternoon of sorting.
- Exports from your other tools come out in a shape you can't use.
Worth knowing
- Check the cleaned file against the original before you trust it. Spot-check a few rows you already know the answer to.
- Keep customer details out of any tool whose privacy terms you have not read.
- If the same export needs cleaning every single month, that is a sign the system producing it should be fixed instead.