Why AI Initiatives Stall at Scale

AI initiatives are delivering strong pilot results but failing to scale. The issue is not model performance, it is the process environment AI operates within. As workflows now span humans, automation, and AI agents, most enterprises lack the visibility, prioritization, context, and optimization needed to control execution at scale.  

This session explores why AI breaks in production and introduces a control layer required for success. Attendees will learn how leading organizations treat process as infrastructure, enabling governed, predictable, and scalable AI adoption across regulated environments.