AI Agent Governance: What Leaders Should Measure—and Why | Bennett Borden

What should leaders measure to know whether their AI systems are working as intended? Bennett Borden explains how to connect AI governance, technical controls, and evidence of real-world performance. In this excerpt from The Killer Use Case Podcast with Hunter Jensen, Bennett discusses how AI changes existing workflow risks, why legal and technical teams need to work together, and what it means to build governance into an AI system. IN THIS EXCERPT: • How AI changes the risks in your business workflows • The gap between legal requirements and technical implementation • “Governance engineering”: translating requirements into system specifications • Using telemetry to document how an AI agent actually behaves • Evaluating AI outputs where they affect people and business decisions THREE QUESTIONS FOR YOUR TEAM: 1. Where does AI change the risk in your workflow? 2. What controls have you built into the system? 3. How will you prove those controls are working? WATCH THE FULL CONVERSATION:    • Bennett Borden on Why AI Will End the Bill...   Original episode: “Bennett Borden on Why AI Will End the Billable Hour and Reshape the Legal Industry” Podcast: The Killer Use Case Podcast Host: Hunter Jensen Channel: @TheKillerUseCasePodcast