Are AI agents just glorified chatbots, or are they a true paradigm shift for enterprise architecture?

In this session of CAIO Circle, dive deep into what it actually takes to move agentic workflows out of the pilot phase and into production. From data quality versus model obsession to the real enterprise bottlenecks around governance, security, and scaling, we unpack the hard truths of building autonomous systems.

Discover the fundamental differences between static chatbots and ReAct-driven AI agents, how autonomy exists on a continuum, and why security, governance, and scaling remain the ultimate silent killers of AI pilots. We also explore the powerful analogy of AI as nuclear energy, emphasizing why robust safety harnesses and clean data semantic layers matter far more than endlessly chasing the newest model version. Finally, learn how technology leaders can balance enterprise-wide democratization with hyper-focused high-impact production initiatives.