Building Governed Agentic AI at Scale

About this session

Building Governed Agentic AI at ScaleThe next evolution of enterprise AI is not simply generating responses, it is orchestrating intelligent AI agents that can reason, plan, collaborate, and execute business processes securely at scale. This session explores how Agentic AI combines Large Language Models (LLMs), Model Context Protocol (MCP) servers, APIs, enterprise data, and intelligent orchestration to autonomously understand user intent, invoke enterprise tools, and deliver contextual business outcomes while maintaining governance, security, and compliance. Attendees will learn practical strategies for designing scalable AI agent architectures, implementing Human-in-the-Loop (HITL) controls, and applying Responsible AI principles to build trusted enterprise solutions. Join this session to discover an enterprise blueprint for deploying secure, governed, and production-ready Agentic AI that accelerates innovation, reduces operational complexity, and delivers measurable business value.