We Went Looking — Here’s What We Found
I told you a salesman set up in my category. Then I did what I always do. I checked the paperwork.
This morning I published a post about a trade article introducing a proprietary AI governance framework — three pillars, three certifications, arriving in the press three days after I ratified AGP-1 on the Fourth of July. I read that timing as convergence, and I welcomed the new arrival to the neighborhood.
The welcome stands. But the research turned up more than the article told, and you deserve the fuller picture the same way I got it — by digging.
Here’s what the article didn’t say plainly. That framework didn’t arrive this week. It launched May 28, 2026. The certification programs behind it launched back in February. What showed up three days after AGP-1 wasn’t a new framework — it was a fresh press push for a framework that’s been on the shelf since spring.
Now, is that misleading? Yes and no, and I’ll give you both halves because both halves are true.
The misleading half: the piece read like an arrival. New framework, new booth, new territory. A reader would walk away thinking this thing was born last week. It wasn’t. In my trade we’d call that repainting the truck and calling it new equipment.
The true half: everything the article said about the problem is right. Policies don’t supervise outputs — people do. Governance has to be an operating model, not a statement of intent. As AI moves from assisting to acting, somebody has to know who supervises, who intervenes, who owns the consequences. All of that is bedrock, and I’ve had every piece of it on my public record with dates attached — some of it for over a year.
But here’s the real discovery, and it’s bigger than the dates.
I read their framework. The actual document, not the press about it. And I’ll tell you honestly: it’s solid work. Built with an advisory board of practitioners from major banks, tech firms, and healthcare companies. Mapped to the international standards. Controls, maturity tiers, harm classes. This is a real operating model for a real problem.
And it governs a completely different floor of the building than mine does.
Their framework governs the organization around the AI. Who approves the deployment. Who tests the system before it ships. Who briefs the board. Which control maps to which regulation. It’s boardroom-to-engineer architecture, and enterprise needs it.
The Faust Baseline governs the session itself. What happens inside the conversation, turn by turn, while the machine is actually working. The gate that clears before an answer forms. The evidence floor under every claim. The check the AI runs on its own output before serving it. The plain disclosure when a wall goes up. The behavior of the machine in the moment — not the org chart around it.
Walk through their whole framework and you won’t find that floor. Nothing in it reaches inside the session where the output actually gets made. Every control they built stands outside the room. Mine stands in it.
So the picture is clearer now than it was this morning, and better. The industry is building the top floors of AI governance — compliance, audit, board assurance — with serious money and serious names behind it. Good. That construction proves the building matters. But the ground floor, the session floor, the place where the machine either follows a standard or doesn’t — that floor has one framework on it. Written in plain language, tested in daily working sessions, published post by post with a date on every board.
I named this ground AI Baseline Governance on the public record April 24, 2026, when the search results came back empty. The big builders are working the upper stories now. Fine by me.
They’re going to need something under their feet.
It just goes to show, homework always proves the truth, before you write about a curve ball.
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