Most leaders have mandated AI pilots, but few can claim it's fundamentally changed their operations. Why is the gap between experiment and transformation so persistent?

Courtney Baker, David DeWolf, and Mohan Rao discuss how to escape the "forever pilot" trap in part three of our change management series. They explore why tools start the change but rituals sustain it, and how to shift AI from a special project to the way business gets done. Pete Buer also joins to break down new research from HBS on why AI-enabled teams outperform lone power users—and the new management skills required to lead them.

Then, Pete interviews Scott D. Anthony, Clinical Professor at Dartmouth's Tuck School of Business. Scott explains why you should treat AI as a teammate rather than an oracle, using it to challenge groupthink while navigating the organizational politics of data access.

Insights you won't want to miss:

Why internal "product-market fit" for AI tools expires every 90 days.
The "gym analogy" for building decision-making wisdom.
The critical difference between one-way and two-way door decisions.

Watch the full episode on YouTube: https://www.youtu.be/4_m9fzfEao4

Try Knownwell free for 30 days: https://www.knownwell.com/30days Get Scott Anthony's new book, Epic Disruptions: 11 Innovations That Shaped Our Modern World.

AI and Change Management: From Pilots to Practice - Making AI Change Stick

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