From Hype to Leadership Clarity 

AI is a leadership issue before it is a technical one. 

This module focuses on: 

• Why AI cannot be delegated entirely to IT or vendors 

• What AI is and is not using clear, non-technical definitions 

• The AI landscape: Generative AI, machine learning, automation, agents 

• Where leaders lose control when AI decisions are delegated 

• The 4D Model: Data, Decisions, Design, Delivery 

You leave with: 
✔ A personal AI leadership stance 
✔ Clear language for talking about AI with your team 
✔ A 4D diagnostic self-assessment 

How AI Creates (and Destroys) Value 

Not every AI use case is worth pursuing. 

This module explores: 

• Aligning business needs with AI opportunities 

• Proven AI use cases vs. failed experiments 

• The “messy middle” of adoption 

• AI as augmentation—not replacement 

You leave with: 
✔ An AI–Business Alignment framework 
✔ A use-case prioritisation canvas 

Why Data not Models is the Real Bottleneck 

Most AI initiatives fail because the data is not ready. 

This module focuses on: 

• Data readiness levels 

• Structured vs. unstructured data 

• Data ownership and accountability 

You leave with: 
✔ A data readiness map for your area 

Embedding AI into How Work Actually Gets Done 

AI only delivers value when it changes the way work flows. 

This module explores: 

• Workflow redesign principles 

• Human-in-the-loop decision points 

• Hands-on Build-Your-Own-Agent simulation 

You leave with: 
✔ A redesigned workflow 
✔ Practical lessons from simulation and experimentation 

Why Structure, Incentives, and Culture Matter More Than Tools 

AI adoption is a people and organisation challenge. 

This module focuses on: 

• Roles and skills for AI-ready teams 

• Driving change from the middle of the organisation 

• Collective decision-making 

• Overcoming resistance 

You leave with: 
✔ An organisational readiness heatmap 

From Learning to Execution 

This final module turns insight into ownership. 

You will work on: 

• Organisational readiness assessment 

• Priority initiatives 

• Governance-lite models that enable speed 

• Metrics for value and adoption 

You leave with: 
✔ A 90-day AI roadmap 
✔ Clear owners and KPIs