Govern AI Agents: A One-Day Practitioner Workshop

Workshop agenda

• Understanding what an AI agent actually is

  We start by breaking down agentic AI in plain English. You will learn what makes an AI system “agentic,” how agents differ from traditional AI tools, and why autonomy, tool use, memory, and multi-step

• The governance risks organizations miss

  Next, we walk through the biggest governance, risk, and compliance issues tied to AI agents. This includes unauthorized actions, excessive permissions, weak human oversight, poor decision traceability

• How to govern AI agents in practice

  We will cover control thinking, oversight structures, approval points, documentation expectations, risk ownership, escalation pathways, and what “human-in-the-loop” should actually mean in practice

• Applying governance frameworks to agentic AI

  We translate core AI governance concepts into the agentic AI context. Instead of keeping frameworks abstract, we show how governance principles connect to real agent behaviors, workflows, and enterpri

• Governance design exercise

  This is where the workshop becomes practical. You will work through a guided governance exercise built around a real-world AI agent scenario. You will identify risks, propose controls, define oversigh

• Building your practitioner mindset

  We close by helping you think like an AI governance practitioner in an agentic world. You will learn how to ask better questions, how to communicate risk to leadership, and how to position yourself as