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An Autonomous AI Control Plane for Governing Agent Behavior at Runtime

1•dakshaneja•6h ago
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.

Comments

Yokohiii•6h ago
You forgot the link.
Kase1111•6h ago
Solid work—shipping a full proactive control plane with simulation and pre-action enforcement is exactly the kind of governance layer agentic systems need right now. I’ve been exploring a related angle on runtime governance: making the policies, decision trails, and enforcement actions themselves live in immutable natural language discourse. Curious how you’re handling policy expression and audit trails today. Either way, inspiring stuff—keep shipping!

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