Each of these runs in your browser, takes about a minute, and needs no account. They are built to be checkable. Every finding shows the evidence behind it and every figure links to its source, so you can disagree with the answer on the merits.
Drop in your written AI policy. It reads the whole document and reports which of twelve control areas from the NIST AI Risk Management Framework are actually evidenced in the text, quoting the sentence and page that produced each finding.
Fifteen questions about how technology is actually run day to day. Returns a maturity level across ten areas, the gaps worth fixing first with a specific next action for each, and what closing them with a full-time hire would cost.
The fully loaded annual cost of a full-time technology executive, built from published federal wage and benefit data and shown as a visible calculation rather than an assertion. Change any assumption you disagree with.
None of these is an audit, an assessment, a certification or legal advice, and none of them produces a result you should represent to a regulator, an auditor or an insurer. They are built to tell you where you stand well enough to decide what to do next. If the answer matters enough to sign for, that is a different piece of work.
Engagements start with a fixed-fee AI-Readiness Diagnostic. It looks at what these tools surface, in the context of the systems you actually run and the people who have to sign for them.