Create an AI Output Review Checklist

Make checks specific to the artifact: source support, names, numbers, dates, permissions, promises, tone, and escalation triggers.

Published September 22, 2026 · Dr. Connor Robertson

What to provide

Representative AI drafts, known failure cases, source-of-truth documents, and intended audience.

Starting prompt

Design a review checklist for this workflow. For each failure mode include what to inspect, source to compare, reviewer role, and what blocks release.

Trial case

Test the checklist on a draft with a wrong date, an unsupported promise, and a missing citation. Reviewers should catch all three before approving use.

Review gate

A team lead tests the checklist on errors already found and simplifies it enough to be used consistently.

How to score the result

Defects escaping review and minutes spent reviewing each output.

Use the current approved source and keep it available to the reviewer. Check a small set of finished outputs against the previous process before adopting this workflow.

Related workflows

Explore AI Governance and ROI for Small Business or the AI business strategy guide.