What

This session explores how to design and implement multi-agent AI systems using MS Foundry Agent Service, where multiple specialized agents collaborate to solve complex real-world problems. The focus is on moving beyond single chatbots to role-based agents that work together with clear responsibilities.

Why

Many enterprise AI scenarios require coordination between capabilities such as data retrieval, reasoning, and task execution. A single agent often becomes difficult to scale and manage. Multi-agent architectures provide a structured way to divide responsibilities, improve reliability, and enable more intelligent automation.

How

Through a hands-on demonstration built using MS Foundry Agent Service, the session will show how agents can be designed with specific roles, connected together, and orchestrated to collaborate while maintaining context. The talk will highlight practical architecture patterns, communication flows, and key considerations for building scalable agent-based systems.

For Whom

This session is designed for AI engineers, developers, architects, and solution designers who want to understand how to build real-world agentic systems and implement collaborative AI agents in enterprise solutions using MS Foundry.

Key Takeaways
-Understand how multi-agent architectures enable specialized AI agents to collaborate instead of relying on a single monolithic agent.
-Learn how to define clear roles and responsibilities for agents such as retrieval, reasoning, and task execution.
-See how agent orchestration and communication patterns enable agents to work together while maintaining shared context.