Official training

Lean Change for AI-Powered Transformation

Learn how to lead organizational AI adoption by integrating Lean Change principles with sense-making, experimentation, and cultural transformation. This advanced course goes beyond frameworks and tools to focus on real, sustainable change.

Who it's for

• Change practitioners with foundational knowledge of AI and Lean Change. • Leaders and managers driving AI transformation. • HR, IT, and transformation professionals supporting AI adoption. • Consultants and coaches looking to deepen their AI change management expertise.

Why attend

Most organizations invest heavily in AI technology but fail to realize its full value because they overlook the human side of adoption . This course equips you with the tools and practices to close that gap. Instead of repeating the same “best practices” that rarely shift behavior, you’ll learn how to sense, respond, and adapt in real time—building change cultures that can keep pace with AI’s rapid evolution.

Artificial Intelligence is transforming organizations at breakneck speed—but while the technology advances, organizational adoption lags behind. Resistance, fear of job loss, and culture clashes are common barriers.

This advanced course bridges that gap by combining Lean Change Management’s experimental approach with the unique challenges of AI adoption. Across four modules, you’ll explore how to:

  1. Diagnose AI readiness and uncover cultural patterns shaping adoption.
  2. Generate insights into resistance and momentum through retrospectives, narratives, and force field analysis.
  3. Design safe-to-fail experiments that drive real behavioral change.
  4. Align leaders, managers, and teams around sustainable AI transformation.

Whether you’re running a transformation office, consulting with clients, or leading from within, this course will help you move beyond “best-practice change frameworks” to sense-making, experimentation, and continuous adaptation—the real levers of AI-enabled change.

What to expect

• Highly interactive : 60% of course time dedicated to practical workshops, group exercises, and simulations. • Case-based : Real-world examples of successful and failed AI adoption. • Experiment-driven : Hands-on design and testing of change experiments. • Community-supported : Access to Lean Change’s practitioner network and resource library.

Upcoming workshops

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