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AI Compliance Without Fear: A Practical Checklist for Product Teams

9 min read
AI Compliance Without Fear: A Practical Checklist for Product Teams

Compliance is easiest when it’s built into engineering: clear data flows, retention rules, user controls, and audit logs.

Start with a data inventory

Document what you collect, where it goes, and how long you keep it. Most compliance failures are really missing diagrams.

Separate “service operation” data (logs, metrics) from “model improvement” data (training signals), and make user controls explicit.

Controls you can ship

Provide clear policy pages (Privacy, Terms), a contact path, and user-facing controls for deletion and opt-out when applicable.

Internally, keep audit logs for access to sensitive data and adopt least-privilege by default.