Course Objective & Scope
Many technically sound AI tools sit unused because employees worry about job security, accountability for errors or losing their hard-won expertise. Unlike traditional ERP rollouts, AI change management touches professional identity, judgment and daily human–machine habits.
This course adapts behavioural change frameworks (including ADKAR) to AI transformation: diagnosing silent resistance, crafting honest leadership communication and designing psychologically safe experimentation spaces. Participants build an end-to-end change management and communication plan for a live AI rollout in their organisation.
Who Should Attend?
- HR, organisational development and internal communications leaders
- Digital transformation, change management and PMO managers
- Business unit leaders rolling out AI tools across their teams
- AI Center of Excellence and adoption leads
Key Takeaways
- Diagnose overt and silent resistance specific to AI (job anxiety, expertise erosion, low trust in outputs)
- Create targeted value propositions for distinct employee personas (early adopters, sceptics, middle managers)
- Prepare honest leadership communications and FAQ guides that build trust without overpromising
- Equip middle managers to shift from passive blockers to active AI adoption coaches
- Design a 90-day change plan combining training, AI champions, nudges and incentive alignment
Curriculum
What Makes AI Change Different from Traditional IT Rollouts
- From mandatory system migration to voluntary cognitive workflow change
- Overt resistance, silent non-adoption and ungoverned shadow AI usage
- Behavioural analysis of anxiety around skill value, identity and autonomy
Stakeholder Segmentation and the Middle-Manager Lever
- Mapping eager pioneers, pragmatic majority and sceptical domain experts
- Why middle managers are the decisive bottleneck or catalyst
- Crafting "What's in it for me?" (WIIFM) value propositions per persona
Psychological Safety, Transparent Communication and Narrative
- Principles for honest, trust-building communication on productivity and workforce impact
- Creating safe sandboxes that reward sharing prompts, workflows and lessons from failures
- Preparing executive talking points and enterprise FAQs for tough questions
Behavioural Nudges, Team Rituals and Incentive Alignment
- Embedding AI into existing workflows and using nudges to break legacy habits
- Show-and-tell rituals, shared prompt libraries and peer learning loops
- Designing incentives that reward quality and innovation rather than penalising efficiency gains
Hands-On Workshop: 90-Day AI Change Plan
- Running an impact, resistance and readiness assessment on a live AI initiative
- Structuring the communication calendar, champion network, training and feedback loops
- Defining change-health metrics (adoption velocity, sentiment, fallback rate)
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