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Successfully Implement AI in L&D, the Learner Experience, and Your Organization
The AI Implementation Guide for L&D is a practical, forward-thinking resource for L&D leaders and practitioners who are navigating the integration of AI within their organizations and looking to drive meaningful, enterprise-wide change.
At the heart of this book is the “AI Implementation Canvas,” a comprehensive planning tool that helps teams design and deploy AI solutions with clarity, care, and confidence. From aligning with business goals to navigating legal and ethical considerations, this book guides readers through every stage of implementation—from experimentation and scaling to governance, measurement, and change management. It offers a powerful lens for understanding how AI affects personal productivity, the learner experience, and organizational transformation.
Filled with actionable insights, reflection questions, and “one small step” challenges, this book equips you to:
- Identify where AI is already affecting learning and where it should.
- Build AI readiness across teams and stakeholders.
- Use L&D as a launchpad for broader organizational transformation.
- Play a significant role in helping your organization determine how to integrate AI into its operations.
If you’re an L&D leader, HR strategist, or enterprise change agent, this book will help you lead an AI-powered transformation—not just in learning, but through learning.
“As someone who’s built AI ventures and led federal innovation teams, I see this guide as the missing link between ambition and real implementation. It shows how to deliver impact by centering people, learning, and collaboration.”
—Joshua Di Frances, Vice President and Head of Incubation and Venture Building, LG Electronics; Former Executive Director, White House Presidential Innovation Fellows
“This book is pure gold for learning professionals ready to move from hype to human-centered impact. It’s a blueprint for responsible, thoughtful, and actionable AI integration. With step-by-step guidance, practical tactics, case studies, and real-world stories, Megan bridges the gap from theory to impact. A must-have for anyone serious about getting ahead of AI implementation.”
—Liza Mucheru Wisner, Head of Talent and Workplace Culture, OpenSesame
“AI may be inevitable, but implementation is a choice. If your organization is wrestling with AI readiness, alignment, and impact, Megan Torrance’s guide meets you right where you are with a refreshingly honest, human-centered approach that replaces hype with clarity and helps L&D lead change with people, not just technology.”
—Mark Britz, Author, Social by Design; Director of Event Programming and Content, The Learning Guild
“I have witnessed firsthand how the dimensions of Megan Torrance’s AI Implementation Canvas unfold across cross-functional teams in my organization. It is a powerful, practical tool that anchors thoughtful decision making and meaningful discussion.”
—Nelson Er, Decennial Training Branch Chief, US Census Bureau
Megan Torrance is the CEO and founder of TorranceLearning. During her more than two decades of leadership, the firm has grown, serving Fortune 1000 companies, major research universities, global professional associations, and the federal government. TorranceLearning was named to the Michigan 50 Companies to Watch list in 2018. Torrance’s strategic vision has enabled TorranceLearning to influence millions of workplace learners worldwide, reflecting her deep commitment to transformative corporate education. She’s the author of Agile for Instructional Designers (2019) and Data and Analytics for Instructional Designers (2023). She’s also an adjunct instructor of learning design and technology at Penn State University. Torrance lives in Ann Arbor, Michigan.
Foreword
Preface
Introduction
Part 1. AI in L&D
Chapter 1. Adopting and Accepting Technology Innovation
Chapter 2. Defining AI Impact Zones for Learning and Development
Chapter 3. The W.I.S.E. A.T. A.I. Framework
Part 2. Engaging With AI Implementations
Chapter 4. The AI Implementation Canvas
Chapter 5. Business Alignment and Value Proposition
Chapter 6. AI Readiness
Chapter 7. Workforce Impact and Talent Planning
Chapter 8. Regulatory and Legal Environment
Chapter 9. AI Technology and Data Architecture
Chapter 10. User Experience and Workflow Integration
Chapter 11. AI Systems Governance
Chapter 12. Experimentation and Pilots
Chapter 13. Scaling and Integration
Chapter 14. Measurement and Impact
Chapter 15. Change Management and Adoption
Chapter 16. AI Literacy and Upskilling
Chapter 17. Social Engagement
Chapter 18. Fairness, Bias Mitigation, and Human Protection
Chapter 19. Using the AI Implementation Canvas
Part 3. Getting Ready
Chapter 20. Thinking in Tetrads: Acknowledging Downstream Impacts of AI Implementations
Chapter 21. Managing AI Implementation Projects Using Agile
Chapter 22. Measuring Impact in AI Implementations Through Data
Chapter 23. Getting Your Organization and People Ready
Chapter 24. Attuning to Power Dynamics and L&D’s Role in AI Implementation
Chapter 25. Working With Vendors for Strategic Partnership, Not Just Procurement
Chapter 26. Moving From Understanding to Action
Acknowledgments
Appendix A. Support for Book Clubs
Appendix B. Resources for Implementation and Action