Large Language Models become significantly more valuable when they can securely interact with enterprise systems. The Model Context Protocol (MCP) is rapidly emerging as a standard for connecting AI agents to enterprise applications, APIs, and data sources while maintaining security and governance.

In this session, we'll explore how to build production-ready enterprise AI agents using Azure AI, Azure OpenAI, and MCP. We'll discuss architecture patterns, authentication, authorization, tool registration, observability, deployment, and operational best practices for enterprise environments.

Through live demonstrations and practical implementation examples, attendees will learn how to move beyond simple chatbots and build AI agents capable of securely interacting with business systems at scale. We'll also discuss common implementation pitfalls, governance considerations, and strategies for monitoring and maintaining enterprise AI workloads in production.