Standing up an AI governance committee
By Sam Rivera, Founder, SentinelPanda · June 19, 2026 · 1 min read · AI Governance
AI decisions cut across legal, security, product, and data. A governance committee is how you stop those decisions from falling through the cracks between them.
Why a committee
AI risk is genuinely cross-functional: legal and privacy implications, security exposure, product decisions, and data governance all collide. Left to any single function, the gaps between them are where bad AI decisions slip through. A governance committee gives AI a single accountable owner with the authority to decide.
Who is on it
A workable committee draws from legal/privacy, security, product or engineering, data, and a senior business sponsor. It need not be large — in a startup it may be a few people wearing several hats — but it should cover the perspectives that AI risk touches and have the authority to say no.
What it does
- Reviews and approves high-risk AI systems before they ship.
- Owns the AI policy (acceptable use, development standards) and the AI system inventory.
- Reviews incidents, monitoring results, and the overall AI risk posture on a cadence.
Keep it proportionate
The committee should match your AI footprint — heavy process for a company shipping high-risk models, a lightweight review for one mostly consuming third-party AI. The point is accountable decisions, not bureaucracy. SentinelPanda gives the committee the inventory, risk classifications, and evidence it needs to decide.