Where does your regulated-AI program actually stand?
A short, indicative self-assessment of how ready your organization is to run AI on regulated data — across four dimensions an auditor or board would ask about: how you use AI, your governance maturity, whether your evidence holds up, and your regulated-data exposure. It mirrors the workflow exposure map a Workflow Opportunity Map produces, in a form you can run yourself.
Your answers are scored in your browser and are not transmitted. This is a self-assessment signal and an input to a Workflow Opportunity Map — not a compliance certification or audit.
Where you stand, by dimension
What a Workflow Opportunity Map would address
The engagement behind that list: the Workflow Audit.
An honest signal, deliberately
What it is
An indicative read of your regulated-AI posture across usage, governance, evidence, and exposure — the same dimensions a Workflow Opportunity Map examines, in a form you can run in three minutes. It points to where the audit risk tends to concentrate and what a real engagement would examine.
What it is not
Not a compliance certification, an audit, or a legal opinion. It does not inspect your systems and cannot make you compliant. It scores only the answers you give, in your browser. The work of proving your posture to a regulator is the engagement itself — this just shows you where to start.
About this assessment
Turn the signal into a plan
Whatever your result, the next move is the same: bring one blocked or high-cost workflow into a Workflow Opportunity Map. The map establishes the current state, measured baseline, operating constraints, and a go, reshape, or stop decision.