How do you build an AI governance program (without a 100-page binder)?
A workable AI governance program comes down to five things: an inventory of AI tools in use, a clear AI usage policy, data controls (DPAs, training opt-outs, masking), a named owner for AI risk, and documented evidence. Most mid-market companies can stand this up in weeks, not quarters — the goal is defensible control, not bureaucracy.
Who it applies to
Any company whose employees use AI tools and that needs to satisfy customers, auditors, the board, or regulators that AI is used responsibly.
What it requires
- A living inventory of sanctioned and shadow AI tools.
- A short, enforced AI usage policy everyone has read.
- Vendor due diligence: DPAs, training/retention settings, security posture.
- A designated owner or committee accountable for AI risk.
- Documented controls and a refreshable evidence pack.
How to comply
- Run an exposure assessment to baseline where you stand.
- Publish a one-page AI usage policy and train staff.
- Lock down data controls on every sanctioned tool.
- Name an owner (or bring in a Fractional CAIO).
- Generate an evidence pack and review it quarterly.
See exactly where you stand
Run a free 2-minute AI Exposure assessment — your risk scored and mapped to the EU AI Act, GDPR, and HIPAA, with a remediation plan and a starter policy.
This guide is general information, not legal advice. Confirm specifics with your counsel or compliance team.