Why Warrentor exists
The problem that needed a different kind of answer
The conversation about AI governance has been dominated by a supply-side frame: how do we build AI systems that can be trusted? How do we regulate, certify, and adopt them at scale? These are legitimate questions. But they address the future. They do not address the person who already received the decision.
Warrentor starts somewhere different. It starts with the individual who has already been affected. The benefit that was cut. The fine that arrived without explanation. The claim that was denied by a process they cannot see. The account that was closed by a system they cannot question.
The AI Non-Delegation Doctrine provides the analytical foundation: a frozen, citable governance instrument that establishes what authority over a consequential decision actually requires. Not what it claims. Not what it documents. What it actually requires — at the moment the decision took effect.
Warrentor is the public-facing instrument of that doctrine. It takes the five questions the doctrine demands and makes them accessible to anyone who has received a decision that something about it felt wrong — even if they couldn't say exactly why.
That feeling, it turns out, often has a name. It is called an authority failure. And it has a structure.