​Most organizations have already crossed the first hurdle of AI adoption: experimentation. But what happens next is where many teams stall.

In this session, Kimberly Whiter shares how her team is assessing internal AI usage, identifying emerging collaboration patterns, and tackling the challenge of turning individual experimentation into shared, scalable ways of working. Drawing on both internal efforts and client engagements, she’ll explore where AI enablement breaks down, what actually helps practices scale across teams, and how L&D can play a central role in that shift.

Expect practical insights, candid lessons learned, and simple approaches you can apply to move your organization from experimentation to team-level capability.

​About L&D x AI Week

​​If your team is actively supporting AI adoption at your company, this one's for you. We're bringing together L&D professionals to share practical, ground-level stories from the work they've been doing.

​​Expect the sessions to center on real case studies: what initiatives they launched, what got traction (and what quietly flopped), and what they'd do differently with the benefit of hindsight. We're keeping it focused on internal teams doing the work, which means no sponsored segments, no product demos — just honest, peer-to-peer exchange.

​​The format is designed to feel friendly and low-pressure, so come ready to share as much as you're comfortable with. Whether you're early in your AI learning journey or well into it, the goal is for everyone to leave with something genuinely useful.