Leading AI Transformation with Megan Starkey

Angela sits down with Megan Starkey, founder of RBD and author of *The Intelligent Organization*, to explore what AI adoption and AI transformation really require from today’s leaders. They unpack people-centered change, mindset barriers, organizational design, and why adaptability—not technology—is the true competitive advantage.

In this conversation, you’ll hear:
- Why AI transformation is really about workflow, structure, and organizational identity
- How leaders should think about individual adoption vs. enterprise transformation
- The psychological barriers executives face—and how to overcome them
- The importance of creating “learn-it-all” and knowledge-sharing cultures
- Real-world stories from transformation projects in the field

If you want clarity on how to move your team forward, this episode is packed with insight from one of the sharpest strategic advisors working in AI today.

First Episode in the mini-series: AI at Work

What does responsible innovation really look like? In thisepisode, host Angela Schultz talks with Dr. Elizabeth M. Adams of the MinnesotaResponsible AI Institute about the human side of AI—why empathy, ethics, andeducation must lead the way.
You’ll hear:
- Why the future of AI depends on inclusion, care, and lifelong learning- How leaders can create responsible AI cultures that invite every voice- Dr. Adams’ 'Rose, Thorn, and Bud' framework for balancing optimism and risk- What both employees and employers can do to prepare for the AI era- How joy and curiosity can become leadership superpowers
Tune in to discover how AI can uplift, not replace, the human experience.

AI Strategy Is a Marathon

Success with AI isn’t about who starts fastest—it’s aboutwho keeps going. Angela Schultz and Loren Horsager unpack the mindset businessleaders need to build endurance in AI adoption. Learn how to measure progress,empower teams, and navigate rapid change without losing focus.

You’ll hear:

Why learning is the new ROI

How to future-proof your tools and data

What companies get wrong about AI leadership

Loren's predictions for industries most affected by AI in 2026

A practical "prompt of the week" for giving better feedback with AI