An Autonomous AI Control Plane for Governing Agent Behavior at Runtime

1 points • dakshaneja • about 12 hours ago • 2 comments

I built a working autonomous control plane designed to govern how AI-driven workflows and agents behave at runtime. Instead of relying on post-incident logs or manual reviews, the system enforces policies before actions occur, simulates changes safely, and proposes corrective actions when violations happen.

The platform converts high-level human intent into structured, executable workflows using event-driven orchestration. It combines policy-first enforcement, asynchronous agent coordination, and a simulation layer so changes can be evaluated before being deployed into a real environment. The goal is to make autonomy safer and more controllable, not just more capable.

This is a real, end-to-end system (not a concept or chatbot), built as a horizontal control plane rather than a domain-specific application. I’m sharing it here to get technical feedback from others thinking about agentic systems, governance, and runtime control.