AI agent demos can be compelling and inexpensive to build, but deploying agents reliably at enterprise scale is far more difficult. I will share practical lessons from implementing agent-based AI systems in highly regulated and operationally complex environments.
The talk will examine why promising prototypes often struggle in production and how data quality, orchestration, workflow design, human oversight, governance, and uncertainty management determine success. The session will offer a strategic perspective on selecting the right opportunities, anticipating common barriers to production, and assessing value beyond technical performance. It is designed for AI leaders and practitioners navigating the transition from compelling demonstrations to scalable, reliable, and business-aligned AI agent deployments.
