Research for organizations learning to operate with AI.

The Agent-Ready Company

Organizational complementarities and the limits of delegating work to autonomous agents

Firms are deploying AI agents into operating models built on the assumption that only humans can interpret context, handle exceptions and exercise judgment. We argue that what limits agent deployment is organizational rather than technical, and we ground the argument in three literatures: the measured complementarity between information technology and organizational capital, the knowledge-based theory of hierarchy, and field experiments on generative AI. They converge on a narrow claim. Measured returns concentrate where operational knowledge was already codified, and delegating past the boundary of what a system does reliably makes performance worse. We also look at why observational shortcuts fail to substitute for asking people directly, and we say which parts of the argument nobody has measured yet.