AI verification · proof packets · US-based
Catch your AI agent lying about "done."
Your agent reports success. The dashboard is green. But did the work actually happen — or did the model just say it did? RIG puts an independent verifier between your AI and "done," with a proof packet you can read. If there's no proof, it didn't happen.
02 · the silent failure
"Done" is the most dangerous word an AI agent says.
When the thing that did the work also decides it's finished, there's no one to catch a confident, plausible, wrong result. That's how ungrounded output ships.
"35/35 passed" is a count, not proof. A test that never ran can't fail. We gate on evidence the result actually happened — not on a number that looks reassuring.
An agent that invents a fact, a citation, or a success state poisons everything downstream. Verification stops it before it leaves the building.
When something goes wrong, "the AI did it" isn't an answer. A proof packet is — every claim traced to the evidence behind it.
03 · what you get back
A receipt, not a "trust me."
Every cycle ends in a proof packet — readable, hash-bound, inspectable. This is what replaces the agent's word.
claim "data pipeline refreshed + validated"
gates
schema_check PASS (ran 14:02:11, 1,204 rows)
row_count_delta PASS (+38, within bound)
freshness PASS (< 6h)
external_send GATE · awaiting human approval
verifier independent · not the generator
verdict ship-eligible · external action held
04 · how we do it
Wrap your AI in verification.
Find the trust gap
We map where your AI output is taken on faith — the results that would hurt if they were quietly wrong.
Install the verifier
An independent check sits between the agent and "done," with proof obligations and gates on anything risky.
Ship with receipts
Every result now arrives with a proof packet. You stop guessing whether the AI actually did the work.
05 · straight answers
What people ask before the call.
How do you verify an AI agent's output?
An independent verifier — separate from the agent that did the work — checks each result against a defined proof obligation. It produces a proof packet: what ran, what passed, what's still open. Only the verifier can declare the work done.
What is a proof packet?
A readable, hash-bound record of a result: the evidence behind every claim, the gates it passed, and what was assumed. It replaces "trust me, it worked" with something you can actually inspect.
Can you verify an AI system we already built?
Yes. We can wrap an existing AI agent or pipeline with independent verification and gates, so you keep your system but stop shipping ungrounded output. Email us to scope it.
How do I get started?
Email Mike@RodgersIntelligence.com or call (262) 343-5680. Tell us where your AI output can't be trusted, and we'll show you the verification approach.
06 · the next move
Where can't you trust your AI?
Tell me which AI output you're currently taking on faith. It goes straight to my inbox and I answer it personally — usually within 24 hours.
Book a 20-min fit call → How we do this — the math + code →Prefer email or text? mike@rodgersintelligence.com · (262) 343-5680. I reply within 24h, personally.