"We think our AI is probably fine" is not a position you can defend to a board or a regulator. A Risk & Confidence Score replaces that vague feeling with two numbers you can actually act on.
The first number rates the system's potential to harm safety, health or fundamental rights, on a simple scale (for example, out of 4). It's what determines which obligations, oversight and restrictions apply. A high score doesn't mean the system is bad; it means the stakes are high enough that it needs proper controls and documentation.
The second number is the one people underestimate. It rates how complete, high-quality and independently verifiable the evidence is. You can have a well-built system and still score low on confidence simply because the documentation isn't there. That gap is risk too, if you can't evidence compliance, you can't demonstrate it.
Together they tell you not just how exposed you are, but how well you can prove your position. A high-risk system with high confidence is in good shape. A high-risk system with low confidence is where the real work, and the real exposure, sits. The two numbers point straight at your priorities.
Because the scores are driven by the evidence on file, they update as you close gaps. That makes them a useful management metric, not a one-off verdict: complete a missing data-governance record or a fairness test, and your confidence climbs. It turns compliance into something measurable and trackable rather than a single pass/fail moment.
The quickest way to get your two numbers is a Triage, a day or two of work that converts an open-ended worry into a concrete, prioritised plan.
A Triage returns your Risk & Confidence Score, and a clear next step, in days.
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