From Curiosity to Execution | Virtual Agentic AI Summit, Jul 2026 - Session 2
AI
•
28-Jul-2026
Stephen Forte (YPO Tahoe Integrated) will share a clear, operator-oriented approach for identifying the right starting points, building early momentum, and avoiding the common traps that keep AI initiatives stuck in pilot mode.
Drawing from his work with mid-market and enterprise leadership teams, as well as recent insights from his MIT executive education work, Stephen will help members understand what it takes to turn AI interest into durable organizational change.
Key takeaways:
• Learn how to identify the right first Agentic AI use cases, where business value, workflow readiness, and organizational adoption can come together.
• Understand the common execution mistakes that cause AI pilots to stall, including fragmented ownership, unclear operating models, and weak adoption paths.
• Walk away with a practical starting framework for moving from experimentation to execution, including how to build momentum, activate teams, and prepare for scale.
Up Next in AI
-
Why Agentic AI Matters | Virtual Agen...
In this opening session of the Virtual Agentic AI Summit, Harry Glorikian (YPO Gold New England) cuts through the AI hype to explain why Agentic AI is becoming a board-level strategic issue. Through practical examples and decision frameworks, he'll help CEOs recognize the interface shift already ...
-
Designing the future of health care w...
This episode of the Mistakes Over Failure podcast begins in Ghana and the UK, exploring the future of global health care with Dr. Elikem Tamaklo (YPO Ghana Integrated) — a physician turned CEO turned ecosystem architect. From honoring his father’s legacy at a family hospital in Ghana to scaling m...
-
Amber Allen: Lead AI With Play, Not F...
In this EDGE - Beyond The Stage 1:1, Amber Allen makes the case for a more human way to lead through AI: with curiosity, play, and experimentation - not fear. She shares practical ways leaders can start small with simple tools, avoid wasting money on overbuilt AI projects, and think more clearly ...
