As AI moves from isolated pilots to enterprise-wide deployment, organizations need more than principles and policies. This hands-on boot camp will provide a practical roadmap for building an AI governance framework that clearly defines who owns AI risk, how AI systems are evaluated and approved, and how they are monitored throughout their lifecycle. Participants will benchmark their approach against peers across healthcare and life sciences and leave with actionable strategies they can apply within their own organizations.

• Building AI inventories and risk-classification frameworks
• Defining legal, compliance, clinical, technical and business ownership
• Establishing approval gates, human oversight and escalation protocols
• Governing generative and agentic AI
• Creating monitoring, documentation and incident-response requirements
• Aligning FDA, HIPAA, privacy, cybersecurity and global obligations