Introduction

Enterprise AI projects are moving beyond systems that generate text or answer questions. Businesses increasingly want AI applications that can retrieve internal information, analyze requests, call APIs, coordinate workflows, and perform approved actions across enterprise systems.

Building these capabilities requires more than connecting a language model to a chatbot interface. An enterprise AI agent needs access to reliable data, clearly defined tools, identity-based permissions, execution controls, and monitoring that allows technical teams to understand what happened during each interaction.

Microsoft Azure provides a foundation for developing these systems. Microsoft Foundry Agent Service supports managed AI agent execution, tool integration, identity controls, and observability.…