AI Implementation for Learning & Development with Megan Torrance

Artificial intelligence is changing workplace learning, but successful AI adoption is about much more than choosing the right tools. It requires leadership, strategy, and helping people adapt to new ways of working.In this episode of the Train to Win Podcast, ATD Houston volunteer Kaitlin Albertson sits down with Megan Torrance, founder of TorranceLearning and author of The AI Implementation Guide for L&D, to discuss how learning leaders can successfully implement AI across their organizations.Megan shares lessons from writing her latest book, explains her WISE AT AI Framework, and discusses why AI implementation is really a people and change management challenge. The conversation also covers responsible AI use, organizational power dynamics, common implementation mistakes, and how Learning & Development professionals can become strategic partners in workplace transformation.Whether you're just beginning your AI journey or leading AI initiatives within your organization, this episode offers practical guidance you can apply immediately.In This Episode You'll Learn: Why now is the right time for AI implementation in Learning & Development  What surprised Megan most while researching her latest book  The biggest barriers organizations face when adopting AI  Why AI implementation is more about people than technology  How the WISE AT AI Framework supports responsible AI adoption  Common mistakes L&D leaders make with AI initiatives  How to use the AI Implementation Canvas effectively  Why power dynamics matter during AI transformation  How L&D teams can become strategic business partners  What the future of AI in workplace learning may look like GuestMegan Torrance Founder, TorranceLearning Author of The AI Implementation Guide for L&DHostKaitlin Albertson Volunteer, ATD HoustonIf you enjoyed this episode, subscribe to the Train to Win Podcast, leave a review, and share it with colleagues who are helping shape the future of learning and development through AI.