AI verification infrastructure for the real world.
AI acts in the real world — but there's no verification layer between the AI and the action. OUGC is building it: deterministic verification of whether an AI action is allowed in its context, before it executes. Compliance is the first application — where the rules are already formalized.
The Problem
AI is not automation. Automation waits for humans to operate it. AI acts by itself — it decides, it executes, like a human professional. But we deploy it without defining what it's not allowed to do.
No constraint at the decision boundary. No evaluation before execution. The action happens first. The consequences come after.
That is not a model problem. It is an infrastructure problem. And it has no solution yet — for any actor, in any domain, at any scale.
OUGC is that infrastructure.
Compliance is the first application — where the rules are already formalized and the consequences are measurable. The engine generalizes to any rule source.
What We Build
Not another point tool.
AI verification infrastructure.
the rules are explicit and the enforcement is real.
The engine generalizes to any rule source.
Jurisdictions
Domains
Real-World Scenarios
The engine evaluates permissibility before execution. The scenarios below show the kind of cross-jurisdiction, multi-framework decisions OUGC is designed to resolve in a single deterministic verdict.