Your AI has never been paged at 3am. I have, for eighteen years.
I spent eighteen years being woken up for other people's infrastructure. Top United States banks, federal and government services, insurance, healthcare, consulting firms and cloud providers.
What I do now is narrower. I look at what an AI wrote into your Terraform, and I tell you what breaks first.
An AI can write your infrastructure. It cannot know which of your resources ends the company if it disappears, what broke here last March, who is on call tonight, or what you promised a customer in writing.
None of that is in the training data. All of it is in your Thursday afternoons.
So you write the judgement down once, in plain language, and let a deterministic engine enforce it on every change. That is the whole idea.
Delivery is policy rather than a service pipe. Controls run on your runners, in your accounts, against your repositories. Client code never leaves the perimeter, and human review happens only by invitation under an agreement.
The engine is deterministic and the model never decides. Suppression of a finding is rejected, always. Every finding carries a code, traces to a control, and every control traces to a standard and a framework.
Post revenue companies of roughly five to twenty engineers, building infrastructure with AI, scaling, without a dedicated platform hire, where one bad deploy would genuinely hurt the business.
It is not for large enterprises. The deal sizes are wrong and they do not find vendors this way.