Session
From Isolated AI to Connected Intelligence: Building MCP Servers to Supercharge Microsoft Copilot
Focus Areas:
Architecture patterns for connecting Copilot to proprietary data sources and custom tools
Lessons learned from real implementations - what breaks, what scales, what surprises you
Security and governance frameworks for extending Copilot while maintaining enterprise compliance
ROI measurement strategies - quantifying the value of custom extensions
Common pitfalls and how to avoid them when integrating external systems
Key Takeaways:
Practical framework for evaluating which data sources/tools warrant MCP integration
Reusable patterns for authentication, rate limiting, and error handling
Cost optimization strategies for high-volume scenarios
Template governance model for MCP deployments
William McLendon
Microsoft, Former MVP, AI Business Process Solution Engineer within the SLG and Higher Education
Orlando, Florida, United States
Links
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