# AI Control Plane

Source: https://dinand.com/experiments/ai-control-plane/
Author: Dinand Tinholt

> 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

No public deployment is linked yet. The introduction remains available without exposing a private service or local data.

[Read the oversight research ](https://dinand.com/research/oversight-and-liability/)

Continue the thread

## A next room to enter.

[Choose another path ](https://dinand.com/)

[System profile · Completed research campaign

### AGENESIS

An agent-based laboratory for exploring how different levels of AI participation interact with enterprise structure, market conditions and industry context.

](https://dinand.com/experiments/agenesis/)[System profile · Working local application

### SCENARIO-X Studio

An interactive workbench for designing multi-product supply-chain experiments and inspecting where average performance hides a weak tail.

](https://dinand.com/experiments/scenario-x/)[System profile · Working research product

### Assay Bench

A workbench for measuring the quality and checking cost of AI outputs when there is no simple answer key.

](https://dinand.com/experiments/assay-bench/)

[All experiments ](https://dinand.com/experiments/)[Back home ](https://dinand.com/)

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Site guide for AI agents: https://dinand.com/llms.txt