AI enablement: from technology deployment to enterprise capability

Benedict Evans recently made a case we recognise from the inside: as usage matures, he points to rising demand for AI maturity and strategy assessment, use case definition, systems integration and implementation services. The essential layers that turn a capable model into a working process and organisational capability. It's a useful corrective to a year of headlines about model releases and benchmark scores. The capability curve has outpaced the change-management curve, and closing that gap, not shipping the next model, is where the next round of enterprise value gets created. AI is increasingly seen as an enterprise capability rather than a technology deployment. Our experience suggests that enterprise value is created sequentially rather than spectacularly. The opportunity starts with helping individuals and teams work differently, expands into agentic workflows that augment judgement and execution, and ultimately evolves into AI orchestrating how the business operates across functions and customer interactions. Every stage compounds the value of the previous one. That's where leadership attention belongs.