You can't get out of pilot. You decay in production. You can't pass an audit. The six patterns below are the mechanisms. Each one is something your team has already lived through, even if no one has named it.
Each one ends with the question your auditor will ask.
Three places enterprise AI fails — Pilot, Production, Audit — and the six patterns underneath them. You are sitting in at least one of them right now.
Wire it to your real systems — Salesforce, the warehouse, the approval flow — and it stops working. Nobody can tell you which step.
“Show me the proof this multi-step action met its specification before it reached the customer.”
It was flawless in the pilot. The model never changed — production data did. Pilot data is not production data.
“Show me the audit record that this performed within spec on the last 30 days of production traffic.”
Your evals look great; the support tickets keep climbing. The benchmark stopped measuring what the model actually does.
“What is the version, date, and contamination status of the dataset you used to show compliance?”
It tells you when something went wrong. It cannot tell you it will not happen again.
“Before the action was taken, what evidence existed that it was permitted?”
Engineering shipped six months ago. Risk still has not approved it — nobody can produce the document they are asking for.
“Where is the proof this system’s behavior was specified, verified, and bound to the audit record?”
Colorado and the EU pushed their AI mandates to 2027; SR 26-2 handed AI governance straight to you. The committee still meets monthly. Time is not on your side.
“In court, in front of a regulator — can you prove this system did what it should, and only that?”
In 2027, every enterprise AI deployment will have to answer the same seven questions. Today's AI cannot answer any of them. SMARTHAUS is built to answer all seven by default.
