Organizational Change Management for AI Transformation

Drive adoption and reduce resistance to AI across teams and departments.

Pillar

People – Mindset, Leadership & Change

Overview

This course provides leaders and change agents with proven strategies to manage the human side of Generative AI transformation. It covers how to build trust, engage stakeholders, and guide employees through the uncertainty of AI-driven change—ensuring smooth, sustainable adoption across the organization.

Learning Objectives

Participants will be able to:

• Understand the human impact of AI transformation

• Identify sources of resistance and how to address them

• Apply change management models tailored for GenAI adoption

• Engage stakeholders and build AI champions within teams

• Design a communication and enablement strategy for AI rollout

Target Audience

• Change managers and transformation leaders

• HR, L&D, and internal communications professionals

• Department heads implementing GenAI solutions

• AI program managers and consultants

Duration

20 hours over 4 days (5 hours per day)

Delivery Format

• Interactive workshops with real-life case scenarios

• Change readiness assessments and planning tools

• Group simulations and role-play exercises

Materials Provided

• AI Change Management Toolkit

• Stakeholder engagement plan template

• Communication guide for GenAI adoption

• Certificate of completion

Outcomes

• Create a human-centered roadmap for GenAI adoption

• Minimize resistance and maximize employee buy-in

• Empower leaders to champion AI-led change

• Integrate AI change management into broader transformation plans

Outline / Content

Day 1: Understanding AI Change Dynamics

• The psychological impact of AI at work

• Why AI adoption fails: human factors and blind spots

• Introduction to change management principles

Day 2: Planning for AI-Driven Change

• Assessing readiness and identifying resistance

• Building a stakeholder map for GenAI transformation

• Communicating with clarity and empathy

Day 3: Driving Engagement and Adoption

• Coaching leaders to model GenAI use

• Creating safe spaces for experimentation and feedback

• Training and support plans for sustained learning

Day 4: Sustaining Change Over Time

• Reinforcement strategies and measuring adoption

• Institutionalizing GenAI through communities of practice

• Capturing lessons learned and scaling success