PRODUCT
Verification as
a pipeline.
Output goes in. A verdict, its citations and a sealed receipt come out. Everything else is detail.
A promotion, a decision, a document. Anything your AI produced that a regulator could one day ask about. Sent via dashboard or API.
A model reads the artefact against the encoded rulebook and drafts findings. Code then enforces the grounding: every rule id and every quoted excerpt is verified against the rulebook and your artefact, not just prompted for. Anything unverifiable is dropped before it reaches you.
PASS with the binding rules cited. FAIL with the exact breach named. Or REFUSED, when no rule matches with confidence, escalated to a human.
The whole run is sealed into a hash-chained receipt and filed as an evidence pack. Months later, in an audit, you can prove what ran and what it found.
Pass. Fail. Refuse.
Most compliance tools only know how to say yes. Velkron has three answers, and the third one is the point: when the rulebook does not support a verdict, the system says so and hands the case to a human. A confident wrong answer is worse than none.
Watch the replay: one clean promotion, one breach, one refusal.