AI Adoption & Change Management
Overview
Technology alone does not deliver results: people have to adopt it. This course focuses on the human side of AI implementation, equipping managers and change agents to prepare teams, address concerns, build skills and embed new AI-supported ways of working so that investments translate into lasting change.
Who should attend
Change managers, HR and L&D professionals, project managers, and department heads leading AI deployments.
Training methodology
Facilitated discussion, practical frameworks, case studies from different sectors, group exercises, short demonstrations of AI tools, and an action plan for each participant's organisation.
Objectives
By the end of this course, participants will be able to:
- Diagnose readiness and resistance in teams
- Plan change activities for AI deployments
- Communicate the purpose and benefits of AI clearly
- Design training and support for users
- Measure and sustain adoption
Course outline
Day 1Why AI Adoption Fails
- Common adoption pitfalls
- The human factors
- Change models applied to AI
- Diagnostic exercise
- Readiness survey design
- Lessons from failed rollouts
Day 2Stakeholders and Communication
- Stakeholder mapping
- Crafting the change story
- Addressing job security concerns
- Communication planning
- Engaging managers as change leaders
- Working with employee representatives
Day 3Skills and Enablement
- AI literacy for all staff
- Role-based training paths
- Champions and peer support
- Designing a training plan
- Learning in the flow of work
- Measuring skill growth
Day 4Redesigning Work
- Process and role changes
- Human review and accountability
- New performance measures
- Case study: AI in a service team
- Updating procedures and job descriptions
- Handling errors and complaints
Day 5Sustaining Adoption
- Adoption metrics and feedback loops
- Reinforcement and recognition
- Scaling across units
- Change plan presentation
- Celebrating early wins
- Change sustainability checklist
