Your enterprise customer is going to ask you to reproduce a decision your AI made last quarter. Right now, "well, LLMs are stochastic" isn't a defensible answer — and the deal stalls in procurement. In five days you'll have a real answer, a gap map, and a 30/60/90-day roadmap to the reproducibility posture your carriers, auditors, and regulators actually accept.
This isn't compliance theater. Enterprise customers — carriers, hospitals, banks, regulators — are getting sharper every quarter about asking AI vendors to produce reproducible records of specific past decisions. A vendor who can answer with something concrete moves through procurement. A vendor who says "the model is stochastic, we'll get back to you" doesn't. The audit is what turns your answer from the second thing into the first.
A five-to-eight page technical brief plus the customer-facing language, delivered in five business days.
The pressure is real, on multiple fronts, tightening every quarter.
Every one of these frameworks assumes decisions can be reproduced from records. Every LLM under the hood assumes they can't. The audit is how you close the gap without pretending it isn't there.
Clock starts at kickoff call, not at purchase.
$2,500 flat, five business days from kickoff. If you've got a specific enterprise-deal or regulator conversation on a clock, say so on the kickoff call — I'll compress if possible or tell you honestly if I can't.
Buy the audit — $2,500Prefer a 15-minute qualification call first? Email luddy.kevin@gmail.com.
Kevin Luddy. 35 years shipping production software. 24 years as CTO. Built HIPAA-adjacent systems, government-facing platforms, regulated enterprise stacks. Now doing this.
contrarianAI's thesis: the interesting failure modes in modern AI are the ones that read as correct until they don't — and the ones enterprise procurement quietly holds vendors accountable for. The reproducibility audit is the version of that thesis that survives an auditor's follow-up question.