Everyone has an AI agent demo.
Very few teams survive production.
This talk explores the operational, architectural, and governance failures that emerge when enterprise AI agents move from proof-of-concept into real-world deployment environments.

Drawing from hands-on experience deploying enterprise agents with Microsoft Copilot Studio, SharePoint retrieval systems, Dataverse integrations, deployment pipelines, and multi-environment governance models, we’ll walk through what actually breaks at scale.

Topics include:
Why RAG quality silently degrades in enterprise content systems
Environment promotion and deployment failures
Agent publishing inconsistencies across channels
Identity and connection management problems
Hallucinated links and retrieval edge cases
Governance friction vs developer velocity
Security and sharing failures in enterprise environments
Human escalation gaps
Why “successful demos” fail operationally

We’ll also cover mitigation strategies, architecture patterns, and practical operational guardrails for enterprise AI systems.

This session is intended for AI engineers, architects, platform owners, and technical leaders building production-grade AI agent systems.