The AI Operating Model Playbook

Bol

Most organisations believe their AI initiatives fail because the technology is immature. The real constraint is structural. Across industries, organisations are investing heavily in artificial intelligence. Yet most initiatives stall after promising pilots. Models perform well in isolation but struggle to scale across the enterprise. The problem is rarely the algorithm. It is the operating model. AI is not simply another technology capability. It learns, adapts, and influences decisions over time. When these systems are forced into operating models designed for predictability and control, friction emerges. Learning slows. Ownership fragments. Value dissipates. The AI Operating Model Playbook explains why scaling AI requires redesigning how organisations operate. Eight structural decisions determine whether AI scales: 1. Portfolio Discipline - Managing AI as a coordinated system rather than isolated projects 2. Funding Logic - Structuring investment for sustained capability rather than project-based ROI 3. Decision Rights - Clarifying authority when algorithms influence business decisions 4. Team Structure - Organising for continuous learning rather than temporary initiatives 5. Process Integration - Embedding AI directly into core operations 6. Risk Stewardship - Governing AI risk, ethics and control at scale 7. Value Measurement - Tracking outcomes without suppressing experimentation 8. Scaling Commitment - Building infrastructure for enterprise-wide capability Through these structural lenses, the book shows how leaders can move beyond experimentation and build AI systems that operate reliably inside real organisations. Written for executives, transformation leaders and board members responsible for turning AI ambition into enterprise capability. Because in the end, technology creates capability, but operating models create scale.

Amazon

Pagina's: 134, Paperback, Independently published