Why AI Agent Pilots Stall — and What Actually Fixes Them

Most AI agent projects don't fail because the AI isn't good enough. They stall between proof of concept and production.

Drawing on lessons from thousands of companies building AI-powered workflows and AI agents, this session reviews three gaps that consistently prevent pilots from shipping: the agentic autonomy dial (balancing control and flexibility), governance (decisions on ownership, change control, and decision making authority), and measurement (defining the right success criteria for each AI use case).

We'll frame how these gaps get addressed through real use cases from an enterprise SaaS company that cut finance ticket resolution from two days to five minutes, a major automotive retail service group that turned its #1 customer complaint into a top NPS driver, and a fast-growing CPG brand that scaled from $72M to $250M in revenue while returning 800 hours to employees through AI agents.

Attendees will leave with a practical framework for diagnosing gaps that are blocking their own initiatives and what it takes to close them.