Most organizations have more AI in production than they realize — and govern it far less than they should. With regulators around the world moving fast to close that gap, the window for building governance after the fact is narrowing.

This session offers a practical, framework-agnostic roadmap for standing up or maturing an AI governance program. You'll work through the core components — model inventory, risk classification, control design, and continuous monitoring — and understand how established frameworks like NIST AI RMF and ISO 42001 provide the scaffolding for compliant, sustainable AI governance. No matter where your organization is on the maturity curve, this session delivers immediately applicable guidance.