Change Management for AI

Module 1

Change & AI

Build a foundation for leading AI-related change initiatives. Learn what makes AI adoption different from other types of organizational change and explore a structured framework for defining goals, measuring success, and planning implementation.

• Apply a four-layer framework for human-centred AI change management
• Define a North Star and build a structured business case for an AI initiative
• Classify an implementation approach as Pilot, Phased Rollout, or Big Bang
• Select and align people and business metrics to evaluate adoption and outcomes

Course Project Part 1: Setting the Vision & Success Metrics Define the business case, establish the North Star, classify the change type, and select balanced metrics.

Module 2

People and change

Explore how individuals and groups experience change during AI adoption. Learn how resistance emerges, how organizational dynamics influence adoption, and how to support people through periods of uncertainty and transition.

• Identify common concerns and sources of resistance during AI adoption
• Analyze organizational dynamics that influence support for or opposition to change
• Segment stakeholders based on their attitudes and responses to AI initiatives
• Conduct a power audit to identify key influencers and potential blockers
• Apply practical enablement strategies to increase engagement and adoption

Course Project Part 2: Mapping People & Power Dynamics Profile 5–6 stakeholder groups, run a power audit, and design enablement strategies. Optional Workshop 1: The Human Element of AI Change.

Module 3

Communicating the AI change

Learn how to communicate AI initiatives clearly and effectively across different audiences. Explore how messaging, timing, and communication channels influence understanding, engagement, and adoption.

• Develop a structured narrative that explains the purpose and impact of an AI initiative
• Identify key audience groups and define the messages most relevant to each
• Select communication channels based on audience needs and context
• Design a communication plan that supports adoption throughout the change process

Course Project Part 3: Designing the Communication Narrative Draft the 5-message narrative, build the recipient map, and create the communication timeline.

Module 4

Measuring success

Learn how to evaluate the impact of AI-related change initiatives after implementation. Explore methods for monitoring adoption, identifying risks, and making informed adjustments to improve outcomes over time.

• Build an adoption dashboard that combines quantitative and qualitative indicators
• Assess implementation risks using structured monitoring approaches
• Diagnose issues affecting adoption and engagement
• Design and evaluate interventions to address high-priority challenges
• Adapt change strategies based on stakeholder feedback and observed results

Course Project Part 4: Measuring Success & Response Loop Build the adoption dashboard and design an intervention plan for one high-priority risk. Optional Workshop 2: Stress-Testing the Change.