Topic
3 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.
AI cannot become a reliable organizational actor while context stays trapped in chats, files, applications, and individual heads. Enterprise memory, decisions, assumptions, evidence, and outcomes, is the missing layer between pilots and AI-native operation.
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.