Turn expert judgment into a working system.

You are evaluating an AI product, technical partner, acquisition, or build-versus-buy decision. The pitch is clear. The architecture, operating risk, or team reality is not.

I read the code, infrastructure, workflows, and assumptions underneath the decision. I trace what is verified, what is missing, where the failure modes sit, and which claims depend on everything going right.

Your organization relies on expert judgment that still lives in people’s heads, scattered documents, private messages, and habits no process map captured.

I turn that work into a system without pretending the judgment is easy to automate. We define the actors, authorities, inputs, states, memory, tools, approvals, failure paths, and rollback boundaries. The design makes clear what an agent can do, what it can propose, and what a human must decide.

You have enough strategy. The next question is whether one important loop can work inside the real organization.

I build or direct the first bounded installation in your existing stack. It has a named user, a live input, a real output, an owner, an acceptance test, and a rollback path. The loop is used before it is called complete.