The Agentic Risk Doctrine: Board-Level Control of Autonomous AI Before It Controls You

The deployment of autonomous AI agents in enterprise environments creates a governance challenge unlike anything boards have previously faced: how do you maintain meaningful control over systems designed to operate independently? The Agentic Risk Doctrine provides board directors with a structured framework for governing autonomous AI systems before they accumulate sufficient operational authority to resist governance. The doctrine addresses the fundamental asymmetry between AI operating speed and board decision-making cadence, provides frameworks for defining autonomy boundaries, establishes kill-switch and override mechanisms that work at enterprise scale, and creates accountability structures for AI actions that occur without human authorisation. Drawing on governance principles from nuclear command-and-control, aviation safety, and financial market circuit breakers, the doctrine adapts proven high-stakes governance models for the AI era.