How to Design the Trusted Agent Controller: Enterprise Agent Control Plane Series, Part 2

This article is part 2 of a series on enterprise agent control planes. It explains how to design a trusted agent controller that acts as the deterministic authority around an AI agent, owning the run rather than the model. Key responsibilities include binding authenticated identity to tasks, maintaining workflow state, evaluating policies, managing approvals, enforcing budgets and concurrency, and preserving evidence. The article emphasizes that the model should handle probabilistic reasoning while the controller ensures security, compliance, and operational control. It critiques model-centric approaches and provides design rules for production-grade agent systems.