HOW NORIVO WORKS
From unknown AI use to governed AI operations.
Norivo gives you a repeatable operating model for AI governance. Start with visibility, establish accountability, build the evidence and keep governance current as your AI estate changes.
The operating model
- 1
Discover.
Create a complete AI Systems Registry covering models, applications, agents, third-party AI services and internal use cases. Capture purpose, owner, users, data, vendors, dependencies, geography and deployment context. - 2
Classify.
Determine how each system should be treated across the frameworks that matter. Structure risk classification and applicability so teams can see which obligations require action and why. - 3
Assess.
Run structured risk and impact assessments. Record risks, affected stakeholders, mitigations, residual risk, approvals and review dates. - 4
Control.
Use VALID to translate governance expectations into operational controls across Visibility, Accountability, Lifecycle Monitoring, Integrity and Defence. - 5
Evidence.
Attach policies, model cards, assessment outputs, technical artefacts, approvals and supporting records to the relevant controls. - 6
Monitor.
Track system changes, risk posture, evidence freshness, control status and governance actions over time.
In a managed engagement, steps 1 to 5 are delivered by Norivo specialists with your review at each step, and step 6 runs for the full 12-month term. Straightforward engagements reach an audit-ready evidence position from 30 days; complex programmes take longer.