Free Lesson
Why Enterprise AI Agents Fail Beyond The Demo
60 min
Jun 22, 2026 7:00 AM
What you'll learn
Prevent AI agent sprawl at scale
Understand how AI architecture principles replace sandbox heroics with specific, enforceable production controls.
Walk through a real production failure
Take a real failure apart and see which principle would have caught it before it ever shipped.
How to use AWS GenAI Lens as the source of AI principles
Use the AWS GenAI Lens (Azure / GCP optional) as your universe — your catalogue makes each best practice enforceable.
Understand how AI governance differs from AI architecture
Both cause production failures — understanding the scope of each helps build concrete controls that prevent them.
Why this topic matters
Coding demo agents in a sandbox can be a thrilling hobby, but architecting them for production scale is a serious discipline. Without rigid principles, AI devolves into "development spaghetti"—fragile logic relying on individual heroics rather than systemic standards. Without these principles, most AI deployments remain shelfware that no serious, regulated environment would risk putting into
