Everyone has an AI agent demo. Very few teams successfully operationalize them.
This session explores the operational, architectural, and governance failures that emerge when enterprise AI agents move from proof-of-concept into real-world production environments.
We’ll walk through what actually breaks at scale:
RAG quality degradation
Deployment and environment promotion failures
Agent publishing inconsistencies
Identity and connection management issues
Hallucinated links and retrieval edge cases
Governance friction vs developer velocity
Security and sharing risks
Why successful demos often fail operationally
Attendees will also learn practical mitigation strategies, architecture patterns, and operational guardrails for sustainable enterprise AI systems.