Course Objective & Scope
Buying enterprise AI licences is straightforward, but when employees fear role erosion or lack safe workflows, organisations end up with either quiet non-adoption or unmanaged shadow AI. This programme approaches AI transformation through the lens of employee experience: unbundling roles into tasks (automate, augment, remain human-led), psychological safety, job crafting and role-based learning journeys.
Using an actual AI or automation initiative from their organisation, participants map employee personas, adoption barriers, an internal AI Champions structure and human-in-the-loop guardrails into a practical adoption roadmap.
Who Should Attend?
- HR, employee experience (EX), organisational development and internal communications leads
- AI transformation office, digital transformation and change management teams
- Department managers rolling out Copilot, enterprise LLMs or workflow automation to their teams
- Talent transformation and upskilling/reskilling leads
Key Takeaways
- Unbundle roles at the task level to clarify where AI automates versus augments human judgement
- Address replacement anxiety and skill insecurity with honest, human-centred communication
- Channel shadow AI into safe experimentation sandboxes and clear usage guidelines
- Design a peer-led AI Champions network across business units
- Build an employee experience roadmap with behavioural adoption and value metrics
Curriculum
The Human Side of AI Transformation: Anxiety, Shadow AI and Resistance
- Drivers of role-erosion fear, skill anxiety and underground shadow AI use
- Moving from licence activation to real workflow adoption
Task-Level Role Redesign and Job Crafting
- Unbundling roles into tasks: delegate to AI, augment with AI, keep human-led
- Reinvesting saved time into higher-value work and skill building
- Human-in-the-loop checkpoints and clear accountability
Safe Experimentation Spaces and Skill Journeys
- Tailoring learning paths for eager pioneers, the cautious majority and sceptics
- Shared prompt libraries and department-specific use cases
AI Champions Network and Adoption Metrics
- Selecting and enabling internal champions and peer-learning rituals
- Tracking usage depth, perceived quality and employee experience indicators
Enterprise AI Adoption and Experience Map Workshop
- Mapping the employee AI journey on an organisational case
- 90-day communication, enablement and support action plan
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