Agent governance
AI Control Plane
A register and evidence layer for examining an enterprise portfolio of AI agents: who owns them, how far they act, and what supports the trust placed in them.
The question behind the system
As agents multiply, the hard problem shifts from building one capable system to understanding the estate as a whole.
What it is designed to do
- Map agents, ownership, autonomy and operating context
- Keep evidence and qualifications attached to every assessment
- Preserve snapshots, signals and an audit history
- Interface
- React + TypeScript
- Service
- FastAPI + persistent registry
- Public mode
- Introduction only
The public boundary
What this page does—and does not—open.
This page describes the design at a high level. The working build is private and service-backed; no internal materials, client information, credentials or operational controls are exposed here.
Separate application
Read the oversight research No public deployment is linked yet. The introduction remains available without exposing a private service or local data.