ai-strategy

Most AI ROI claims are marketing, not measurement. This lesson builds a rigorous framework: how to set baselines and counterfactuals, why RCTs beat vendor case studies, the real cost components of AI deployment, and how to avoid the attribution traps that make bad investments look good on paper.

Strip away the hype. This lesson unpacks the real adoption and impact data: McKinsey's State of AI surveys, the MIT 2025 GenAI Divide, and why roughly 95% of enterprise GenAI pilots show no measurable P&L impact — plus where value has actually landed and what the pilot-to-production chasm looks like in practice.

The model is the least of your problems. This lesson examines how to structure the AI function (centralised, federated, hub-and-spoke), make defensible build-vs-buy decisions, design for actual adoption, and understand why change management — not the model — is the dominant failure mode in enterprise AI programs.