Quick check
Guess first, no penalty. You fix a few AI errors every day but never write them down. What do you miss?
Write down what was wrong each time you fix AI-typed data. Patterns show up fast. A simple log is enough, and five columns will do the work.
| Date checked | File | Error type | What was wrong | Fix |
|---|---|---|---|---|
| 12/05/2025 | INV-May-03 | Digit misread | Amount $2,750 typed as $2,150 | Corrected to $2,750 |
| 12/05/2025 | INV-May-03 | Date swap | 08/09 typed as 09/08 | Corrected to 08/09 |
After a few weeks the log tells you where to look first. If most of your fixes are digit misreads in the amount column, move your re-check of amounts to step 1 of your spot-check routine.
Let AI group the log
An AI chat tool (an app that writes answers to what you type) can help here once the data is already cleaned. Give it your log, not your raw customer records. A prompt is the message you send it:
Here is my error log from checking AI-extracted data:
[paste your log]
Group the errors by type and suggest one check I should add to my
routine for the most common type. Do not invent errors that are
not in the log.Fill the gaps
Fill the gaps in a prompt that reads your log safely.
Prompt
Here is . Group the errors and suggest one check I should add for the most common type.
Try it
Your steps, about 2 minutes
- 1.Start your log: make the five columns and add one fix from this week, or a made-up one.2 min