This workshop guides participants through designing and deploying enterprise AI solutions using Copilot Studio and Azure AI Services. The session is structured around five progressive labs that move from foundational data integration to advanced AI extensibility.

Lab 1 – Dataverse MCP Connector:
Connect Copilot Studio to enterprise data using MCP. Learn secure data integration and build foundational AI workflows powered by structured business data.

Lab 2 – Proactive Contract Alerts:
Implement Azure AI Search and Speech-to-Text to analyze contracts and call transcripts. Build proactive alerting workflows integrated into Teams.

Lab 3 – Bring Your Own Model (BYOM):
Integrate custom Azure-hosted models into Copilot Studio. Extend agent intelligence with advanced, scalable AI capabilities.

Lab 4 – Build a Data Fabric Agent:
Connect agents to Microsoft Fabric. Leverage analytical and operational data to create data-driven AI experiences.

Lab 5 – Custom MCP Server:
Build and connect a custom MCP server. Expose external APIs and enterprise services to extend agent functionality.

By the end of the workshop, participants will have hands-on experience building intelligent, automated solutions that combine enterprise data, search, speech processing, custom models, and extensibility patterns — all within a scalable AI architecture.