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When Governance Runs Out
A policy and a committee get you to the starting line. Then the risks stop waiting.
Key Takeaways
- Discovery is not documentation. Self-reporting misses browser chats, OAuth sign-ups, and AI embedded in your vendors.
- Personal AI accounts aren’t privileged. Those chat logs are discoverable in litigation.
- Your committee is the bottleneck. Tier by risk so low-risk requests move fast.
- Bias testing must hold up. Partial vendor reports and testing outside privilege won’t protect you.
- Agent liability is unsettled. Contracts are your first defense, and open-weight models put safety on your team.
Most AI governance programs stall at the same point. They have a policy and a committee, but no inventory they trust, no way to tell when a model changes underneath them, and no answer when counsel asks for the evidence. The gap shows up in discovery requests, vendor reviews, and deals that slow down because no one can speak to the risk.
This session breaks governance into three stages: crawl, walk, and run. You’ll leave knowing which stage you’re in, what to fix first, and what you can safely leave for later.
Watch on demand before your next gap becomes your next dispute.