Standards and regulatory mapping
Clarivy converts governance requirements into owned controls, bounded workflows, review records and monitored outcomes across the AI lifecycle.
Governance lifecycle
From inventory to monitored assurance
Discover
Register the AI system, workflow, owner, provider, data and intended use.
Assess
Classify context, impact, applicable obligations, gaps and required controls.
Control
Bind versioned policy, permissions, tests, human gates and required records.
Monitor
Track exceptions, incidents, drift indicators, complaints and corrective actions.
Demonstrate
Reconstruct what applied, what was checked, who decided and why.
One control model, several frameworks
Requirements overlap, but they are not interchangeable. Clarivy maintains the source obligation and maps shared operating controls without hiding framework-specific duties.
Regulatory obligation mapping
Capture the AI-system role, risk classification, intended purpose, provider and deployer responsibilities, human oversight, monitoring and technical records.
Risk-management operating model
Connect Govern, Map, Measure and Manage activities to accountable owners, case context, assessment results, decisions and remediation.
AI management-system support
Organize policies, objectives, roles, risk treatment, operational controls, documented information, review and continual improvement.
Local regulatory control mapping
Support privacy, purpose limitation, data provenance, model governance, consumer protection, explainability, human oversight and third-party review requirements.
Important boundary
Each institution remains responsible for applicability, risk acceptance, regulatory engagement and independent certification decisions.