Quarterly AI Review — What Managers Should Check

Why Quarterly Reviews Matter

AI technology and regulations change fast. What was compliant three months ago might not be today. A quarterly review catches drifting practices and compliance gaps before they become serious.

Tool Inventory Update

Review which tools your team actually uses versus the approved list. Are there new tools needing evaluation? Have approved tools changed their terms of service? Watch for shadow AI: unauthorized tools adopted without approval.

Policy Compliance Check

Review tracking data. Are data handling rules followed? Is output being reviewed before use? Are disclosure requirements met? Identify non-compliance patterns and address through training or clarification.

Incident Review

Analyze any incidents from the past quarter. Are there trends or recurring types? Have previous prevention measures worked? Prioritize improvements based on findings.

Training Assessment

Has everyone completed required training? Are new hires onboarded with AI guidelines? Does content need updating for new tools or regulations? Schedule refreshers if needed.

Regulatory Update

Check for new AI regulations affecting your team. EU AI Act, US state laws, and industry regulations evolve rapidly. Consult with your legal team to ensure current compliance.

Vendor Review

Contact AI vendors for security updates and terms changes. Review any vendor security incidents. Ensure contracts still meet requirements.

Action Planning

Create a prioritized action plan for the next quarter. Assign owners and deadlines. Share a summary with your team.

This article is for informational purposes only and does not constitute legal advice. Regulatory requirements change frequently — verify current rules with official sources. Built by Sawai Gyoseishoshi Office, Hiroshima, Japan.