I'm Robert Sellers. I spent 25 years inside regulated finance — at the Federal Reserve and a top-four U.S. bank — watching how real institutions get held accountable. Now I build the controls that make AI answer for its decisions the same way people do.
That's the real risk — not the technology, the unanswerable action.
The institutions I came up in spent a century building the machinery of accountability: controls before an action, evidence after it, clear limits on who's allowed to do what. AI is being deployed with almost none of it.
KAiM closes that gap. The principle is simple and it doesn't bend: AI proposes. Deterministic evaluators enforce. AI can suggest. Something deterministic checks it against your rules before it goes out the door. You're left with a clean record you can defend.
Built on three decades of making complex systems answerable.
A career across the Federal Reserve, a top-four U.S. bank, and the global firms where enterprise standards get set — leading large, regulated technology and governance programs where failure is regulatory, reputational, and operational.
Full background on request · LinkedIn
I don't run a consulting shop on the side. The work happens through KAiM — and it starts by looking at where your AI is unaccountable today, before anyone prescribes a thing.