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Description

Why do so many AI rollouts stall right after the tools ship?
In this episode of Alexa’s Input (AI), Alexa talks with Melissa Reeve, author of the book Hyper Adaptive: Rewiring the Enterprise to Become AI Native, about what it actually takes to get AI adopted in large organizations.

Melissa shares how her background in lean, Agile, and DevOps transformation shaped her view that AI adoption is less about “buying the tool” and more about rewiring how work happens. Together, they break down why many AI initiatives fail (and why ROI is slow), the FOCUS framework, the “AI time paradox,” and how support structures like AI activation hubs, social learning, and better success metrics can raise quality and accelerate impact.

A must-listen for engineering leaders, product teams, and executives trying to move beyond pilots and turn AI into real operational leverage.

Learn more about Melissa and Hyper Adaptive below.

Links

Watch: ⁠⁠⁠https://www.youtube.com/@alexa_griffith⁠⁠⁠

Read: ⁠⁠⁠⁠⁠https://alexasinput.substack.com/⁠⁠⁠⁠⁠

Listen:⁠ https://creators.spotify.com/pod/profile/alexagriffith/⁠

More: ⁠⁠⁠https://linktr.ee/alexagriffith⁠⁠⁠

Website: ⁠⁠⁠https://alexagriffith.com/⁠⁠⁠

LinkedIn: ⁠⁠⁠https://www.linkedin.com/in/alexa-griffith/⁠⁠⁠

Find out more about the guest at:

LinkedIn: https://www.linkedin.com/in/melissamreeve/

Book: https://itrevolution.com/product/hyperadaptive/

Keywords

AI adoption, enterprise transformation, Hyper Adaptive model, organizational change, DevOps, Lean, Agile, AI integration, customer-centricity, innovation accounting, social learning

Chapters

00:00 Introduction to AI Adoption in Enterprises

03:00 Melissa's Journey and the Foundation of AI Thinking

06:06 The Analogy of DevOps and AI Implementation

08:47 Cultural Shifts vs. Tooling in AI Adoption

11:49 The Hyper Adaptive Model for AI Integration

14:48 Sociology of Workflows and Organizational Change

17:49 Understanding AI Initiative Failures

21:00 Customer Centricity in AI Solutions

23:58 The AI Time Paradox and Learning

26:58 AI Activation Hubs and Their Role

30:54 The Role of Human Oversight in AI Automation

34:03 Incentivizing AI Engagement in Organizations

35:59 Social Learning and AI: The Power of Collaboration

40:57 Practical Applications of AI in Daily Life

44:44 Quality vs. Productivity: The AI Dilemma

46:13 The Focus Framework: Prioritizing AI Use Cases

48:23 Influencing AI Adoption in Organizations

51:07 The Future of Hyper Adaptive Organizations

55:08 Decision-Making in the Age of AI

57:37 Key Takeaways for Leaders in the AI Revolution