Change Management in the Age of AI

About the book

In an era full of confusing AI headlines, it is hard for leaders to know where to start. This handbook cuts through the noise for leaders and managers in small and mid-market businesses, on the firm belief that AI adoption is at its core a human challenge, not a technical one. It puts deep emphasis on the psychology of change: what your people are feeling, why they might resist, and how to build the commitment, trust, and psychological safety needed for real success. It distills time-tested concepts (Lewin's Force Field Analysis, Kotter's Eight Steps, ADKAR), looks at each through the AI lens, explains why classic models often fail in an SME setting, and offers a practical alternative: the AI Agile Change (AAC) Framework.

What's inside

• Chapter 1: AI Revolution
• Chapter 2: Foundations of Change: Classical Models
• Chapter 3: Why Classic Change Models for AI Adoption Fail in SMEs
• Chapter 4: Human Responses to AI Change: Commitment, Conformity, and Safety
• Chapter 5: The Human Journey Through AI Change
• Chapter 6: The AI Agile Change (AAC) Framework
• Chapter 7: Augmenting and Anchoring AI Change
• Chapter 8: Your SME as a Learning Organism

What you'll take away

• Build a credible AI adoption plan tailored to an SME
• Have harder conversations earlier and better
• Use the AAC framework instead of one-size-fits-all classic models
• Track adoption signals that predict long-term success