Today, far too many AI and agent projects die as science experiments. AI and agent projects live in a lab, impress at demo time, but they never get into production.In this conversation, Eric and John tackle this problem head-on. They discuss the challenges faced by AI projects, during the transition from proof of concept to production. They explore the socio-technical problems that hinder operationalization, the importance of reliability and scale, and the necessity of building trust in AI agents through governance and certification. The discussion emphasizes the need for organizations to learn from past experiences in technology and apply those lessons to successfully deploy AI solutions.