Free management resource

AI Output Review Checklist

A practical 20-point check for managers and professionals before they use, send, present or approve AI-generated work.

AI can accelerate analysis, drafting and preparation, but speed is not the same as reliability. The person using the output remains responsible for deciding whether it is accurate, appropriate and ready for real work. Use this checklist to make that review deliberate.

How to use it: Check each statement you can confidently answer “yes” to. Any unchecked item is a reason to pause, investigate or revise. High-risk work may require qualified legal, financial, HR, compliance, safety or other specialist review regardless of score.
1. Purpose and context

Confirm that the output is solving the right problem.

2. Accuracy and evidence

Verify claims instead of accepting fluent language as proof.

3. Reasoning and judgement

Challenge whether the recommendation actually follows from the evidence.

4. Risk, privacy and fairness

Check whether using the output could create avoidable harm or exposure.

5. Readiness and accountability

Make ownership and next steps explicit before the output is used.

Your review score

0/20

Not yet reviewed.

17–20: Strong review. Address any remaining gaps before use.

12–16: Further review. Important questions remain unresolved.

0–11: Do not rely on it. Rework and verify before proceeding.

When to use this checklist

  • Executive emails and briefings
  • Project updates and recovery plans
  • Meeting summaries and action lists
  • Options analysis and recommendations
  • Change-impact assessments
  • Policies, procedures and guidance
  • Performance and people communications
  • Customer-facing material

Frequently asked questions

Does a high score guarantee that AI-generated work is correct?

No. The score helps structure your review; it does not prove that the output is accurate or suitable. Material facts and high-impact decisions still require appropriate verification and professional judgement.

Should every AI output receive the same level of review?

No. Match the depth of review to the potential consequences. A low-risk internal draft may need a lighter review than legal, financial, employment, safety, regulatory or customer-facing material.

Can teams adapt this checklist?

Yes. Teams can add requirements that reflect their policies, approval processes, professional obligations and risk profile.

Go beyond reviewing individual outputs

The Practical AI Toolkit for Managers & Professionals includes 500 AI prompts, workflows and decision tools for real work, together with worked examples, review tools, change leadership resources and practical frameworks.

Explore the Practical AI Toolkit

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