AI Fit For Business

Starter guide

Build a human-review habit

Make reviewing part of the task, not an optional final glance.

Name the reviewer

The reviewer needs enough subject knowledge, access to the source and time to check the result. “Someone will look at it” is not a workable control. Give the reviewer authority to reject the output and return to the manual process.

Check five things before use

  1. Facts: Can each factual statement be traced to the approved source? Verify names, dates, quantities and references.
  2. Completeness: Are important exceptions, uncertainties or unresolved questions missing?
  3. Meaning: Has a summary or rewrite changed the original intent or added a commitment?
  4. Audience: Is the tone suitable, and is every detail appropriate for the people who will see it?
  5. Action: Does the final output ask anyone to do something outside the agreed scope?

Use a review log

Record the type of problem, not just “bad answer”. Repeated missing dates call for a different response from invented policy. Track correction effort so a fast draft does not hide a slow review.

Example reference:
Source checked:
Incorrect or unsupported facts:
Missing information:
Changed meaning or commitments:
Sensitive content:
Corrections and time taken:
Approved / revise / reject:
Reviewer and date:

Decide when to stop

Pause if a reviewer cannot reliably verify the output, if confidential information appears unexpectedly, or if the task drifts into decisions outside the pilot. Record the issue and investigate before continuing.