About this episode

Melissa Reeve discusses how organizations can transform into AI-native entities to succeed in the age of AI.

Why do 80-95% of AI initiatives fail — and why is your organization’s structure to blame? Most companies are treating AI like a software upgrade, when it actually demands a complete rewiring of how work gets done. In this episode, Melissa Reeve, author of Hyperadaptive and organizational change expert, shares a practical model for transforming legacy enterprises into AI-native organizations built to thrive — not just survive — in the age of AI. Drawing on her experience with the Toyota Production System, Scaled Agile, and deep research into leading AI adopters, Melissa argues that the real barriers to AI adoption are structural: Taylorist hierarchies, functional silos, and decision bottlenecks that organizations have never been forced to dismantle — until now. She introduces the Hyperadaptive model, a five-stage maturity path that gradually rewires how organizations operate, from establishing AI governance and identifying champions, to deploying agentic AI and organizing around customer value streams. Unlike past transformations, AI will compress both the strategy-to-execution and concept-to-delivery dimensions simultaneously — and the organizations that fail to adapt will be…

People in this episode

Host: Henry Suryawirawan

Guest: Melissa Reeve

Topics covered

• AI adoption
• organizational change
• Hyperadaptive model
• legacy enterprises
• AI-native organizations
• digital transformation

Keywords

• AI initiatives
• organizational structure
• transformation
• governance
• customer value streams
• decision bottlenecks
• maturity model

Mentioned in this episode

Organizations: Toyota Production System, Scaled Agile, Uber, Airbnb

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