AI Agent Governance: A Working Session
Hosted by Temi Odesanya, Ola Ajayi, and Precious Erugo
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Learn directly from Temi Odesanya, Ola Ajayi, and Precious Erugo
Go deeper with a course
AI Governance Under Pressure - A practical course for Leaders governing AI
Temi Odesanya
AI Governance Practitioner & Educator
Go deeper with a course
AI Governance Under Pressure - A practical course for Leaders governing AI
Temi Odesanya
AI Governance Practitioner & Educator
What you'll learn
Define an agent governance framework
Build a practical governance structure for AI agents, e.g policies, permissions, tools, data boundaries, and escalation
Create an AI Agent Risk-tier Framework
Assess agent risks across data, privacy, security, safety, reliability, accountability, operational impact etc
Translate governance requirements into an operating model
Translate governance requirements into an approved operating envelope: what the agent can access, decide, recommend
Govern a live Agent with your framework
Watch a real agent get tiered and governed in real time: implement technical controls across the lifecycle
Leave with a reusable agent governance blueprint
Walk away with a framework you can apply to your own agent: risk-tiered, boundary-mapped, control-aligned, and ready
Why this topic matters
AI agents are moving from suggesting to acting: calling tools, accessing data, triggering workflows, and shaping decisions. But most governance was built for static models. That gap is where accountability lands. Join us to learn how to set boundaries, controls, and oversight before agents act.
You'll learn from
Temi Odesanya
Responsible AI Leader
Ola Ajayi
AI Governance & Privacy Leader
Precious Erugo
Lawyer & AI, Product Compliance Leader