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Course Overview
AI transformation succeeds when leaders help people understand what is changing, adapt how work gets done, build confidence, and turn AI adoption into measurable value. This practical course equips leaders to guide teams through AI-driven change—without needing to be AI experts or change-management practitioners. Participants learn how to prepare people for changing work, navigate uncertainty and resistance, build responsible trust, enable adoption, and sustain new ways of working that deliver organizational value.
Learn how to lead teams through AI-driven change by assessing impacts to work and people, responding to uncertainty and resistance, building trust, enabling adoption, and connecting AI-supported behaviors to measurable value. Apply the concepts to a current or upcoming AI initiative.
Who Should Attend
This course is designed for directors, managers, functional leaders, team leaders, and other business leaders who are involved in or affected by AI-driven change and are responsible for helping their teams successfully navigate new ways of working. It is especially relevant for leaders who need to build understanding, confidence, adoption, and business value from AI initiatives without being AI technical experts or formal change management practitioners.
Course Objectives
- Explain their leadership role in guiding teams through AI transformation.
- Assess how AI may change work, roles, skills, and team expectations.
- Respond constructively to uncertainty, concerns, and resistance.
- Build informed trust through transparency, responsible use, and human judgment.
- Create conditions that make AI adoption easier to learn, use, and sustain.
- Connect AI-supported behaviors and adoption to measurable organizational value.
Course Outline
Leading and Preparing Your Team for AI Transformation
- Understanding how AI is changing work
- Identifying common workplace AI tools
- Recognizing what makes AI transformation different
- Clarifying your leadership role
- Assessing the impact on your team
- Translating AI change for employees
- Creating a space for AI learning
Navigating AI Resistance & Human Response
- Recognizing human responses to change
- Understanding personal transition through change
- Using resistance as information
- Identifying sources of resistance
- Matching leadership responses to barriers
- Balancing support with accountability
Building Confidence to Enable AI Adoption
- Guiding the AI adoption journey
- Building informed trust and confidence in AI
- Applying human judgment and verification to AI results
- Creating psychological safety and experimentation
- Building AI capability
- Removing barriers to adoption
Driving and Sustaining AI Value
- Connecting AI use to outcomes
- Defining success and value
- Measuring more than usage
- Monitoring risks and consequences
- Learning, improving, and scaling work
- Sustaining new ways of working
- Creating a 30-day leadership commitment plan