Topic
4 essays in this series
Expert work has never had an operating system. It has had tools, documents, meetings, and heroics. AI exposes the gap, because machines cannot run on tacit apprenticeship, and knowledge work now needs a layer that coordinates delegation, context, review, memory, evidence, and outcomes.
Advisory firms do not need better prompt libraries. They need an operating system: the workflows, knowledge structures, delegation rules, evidence requirements, and review mechanisms that let expert work be delivered repeatedly through human-machine teams.
AI automates tasks, not judgment. The consequence is not that experts are safe; it is that expert judgment must become an accountable control function over delegated machine work.
The Diamond model answered the staffing question for AI-era consulting. It did not answer the operating question. What makes the new shape safe and repeatable is a control plane for delegation, context, evidence, and review.