01
Register every AI system
Maintain a living inventory of system identity, ownership, purpose, department, AI type, data sources, PII involvement, and operational status.
Owner and department
Business purpose
Data sources and PII
Lifecycle status
AI governance operating system
Govern every AI system with evidence.
Orivium gives governance, risk, and technology teams one control layer for AI inventory, impact classification, oversight, evidence, monitoring, and audit history.
Decision support—not autonomous decision-making or compliance certification.
What to expect
Governance without false promises.
Human authority
Reviews and decisions remain assigned to accountable people.
Traceable change
Evidence and decisions stay connected to each AI system over time.
Honest scope
Workflow and audit preparation—not legal or clinical certification.
One continuous record
Move from inventory to audit trail without losing context.
Orivium treats each AI system as a continuously governed object—not a spreadsheet row frozen in time.
The control chain
Inventory → impact classification → risk assessment → controls → human oversight → evidence → monitoring → audit history
02
Classify impact consistently
Guide teams through high-impact assessment and connect each classification to the governance controls it requires.
03
Preserve evidence and decisions
Attach evidence, document human review, record changes, and retain an audit-ready history around every governed system.
Plans
Start with the governance scope you have today.
Pilot access and organization-wide deployments are scoped to your inventory, team, and oversight requirements.
FOUNDATION
Governance pilot
For a focused team establishing its first governed AI inventory.
Custom pilot
- AI system inventory
- Impact and risk workflows
- Control and evidence tracking
- Human oversight records
ORGANIZATION
Operational governance
For cross-functional programs coordinating owners, reviewers, evidence, monitoring, and audit preparation.
Scoped deployment
Everything in Foundation
Multi-team workflows
Change monitoring
Audit-ready decision history
Role-based oversight
Implementation planning
Clear boundaries
Questions governance teams ask first.
Make governance operational
Give every AI decision a responsible owner and a traceable record.
Begin with your inventory, then build the controls, evidence, and oversight your organization needs.