Many organisations first encounter agentic AI as a compelling demonstration: a system that plans steps, calls tools and completes a multi-stage task with limited supervision. The leap from demonstration to production is rarely a model problem. It is an operating-model problem.

In enterprise and government settings, an agent is not simply an autonomous assistant. It is a constrained actor inside a control environment. That means the organisation must define allowable goals, authorised tools, data boundaries, escalation rules and evidence expectations before autonomy is expanded.