Session Abstract

Enterprise AI is rapidly evolving from single copilots to orchestrated multi-agent ecosystems capable of planning, reasoning, integrating enterprise data, and automating complex business workflows. In this deep technical session, attendees will learn how to design, build, and orchestrate scalable multi-agent systems using Microsoft Foundry, Copilot Studio, Azure AI services, and enterprise data platforms.

We will explore real-world architectural patterns for building intelligent agents that collaborate across tasks such as data retrieval, workflow automation, document intelligence, business process orchestration, and enterprise decision support. The session demonstrates how Microsoft Foundry enables secure agent hosting, orchestration, observability, memory management, and enterprise governance while integrating with Microsoft 365 Copilot and business applications.

Attendees will also learn how to connect enterprise agents with Microsoft Fabric, SQL Server 2025 vector capabilities, MCP-based integrations, and secure retrieval-augmented generation (RAG) architectures to build production-ready AI systems.

Through live demonstrations and architecture walkthroughs, this session provides practical guidance for moving beyond isolated copilots into scalable enterprise-grade multi-agent AI platforms.

Key Takeaways
Understand multi-agent architecture patterns using Microsoft Foundry
Build orchestrated AI agents with Copilot Studio and Azure AI
Integrate enterprise data using Microsoft Fabric and SQL Server 2025
Implement secure RAG and MCP integration patterns
Learn governance, monitoring, observability, and deployment best practices
Design scalable enterprise AI systems ready for production workloads
Audience
Enterprise Architects
AI Engineers
Solution Architects
Microsoft 365 Developers
Platform Engineers
Data & AI Professionals
Session Level

Intermediate to Advanced