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AI GOVERNANCE BRIEFING · PRACTICAL TOOLKIT

The AI Approval Reassessment Checklist

What Changed. Does It Matter. Who Needs to Look Again.

A practical tool for deciding whether an AI system you approved is still covered by that approval, or needs to go back through review.

AI approvals are snapshots. Models change, vendors add features, use expands and data shifts, while the system name, the contract and the inventory entry stay the same.

This 14-page checklist gives you the Approved Baseline Record, a nine-question change screen, a materiality test and a routing guide by risk tier. You can run it on any AI system in production in about 15 minutes.

14-PAGE REASSESSMENT TOOLKIT

Illustration of an approved AI system record, a timeline of changes, and a review checkpoint

Get the Complete 14-Page Checklist

Enter your email to get the baseline record, change screen, materiality test, re-review matrix and reassessment record template.

Free resource · 14 pages · PDF

What's Inside

Approved Baseline Record

Capture what you actually approved, so you can tell when it no longer matches what's running.

Nine-Question Change Screen

Model · Intended use · Data · Users · Autonomy · Vendor · Environment · Performance · Regulation

Materiality Test

Ten questions that sort every change into Minor, Material or Major, consistently.

Who Needs to Look Again

A re-review matrix by change type, re-approval authority by risk tier, and a reassessment record template.

Disclaimer: This resource is provided for general informational and educational purposes only and does not constitute legal, regulatory, compliance, risk, or other professional advice. Organizations should adapt governance structures to their specific circumstances and consult appropriate professional advisors where necessary.

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