Gartner believes agentic systems have the potential to revolutionize how organizations operate, while McKinsey estimates agentic AI could drive productivity gains of up to 30%. As enterprises accelerate investments in AI agents, many are discovering that the challenge is no longer building agents, but governing, securing, and managing them at scale. How can organizations unlock the promise of autonomous AI while maintaining trust, compliance, and operational control? Join us to explore why a unified AI Control Plane is becoming the foundation for enterprise AI operations. 

In this session you will learn how to: 

• Establish governance frameworks, policy guardrails, and accountability for enterprise AI agents. 

• Achieve end-to-end observability, monitoring, and optimization of AI agent performance and outcomes. 

• Build a scalable AI operating model that transforms AI agents into governed, trusted, and measurable enterprise assets. 

• Best practices for orchestrating and managing multi-agent workflows across business processes and technology environments. 

• Strategies to strengthen security, identity, compliance, and trust while reducing operational risk.