Your AI vendors are moving faster than your governance.
Procurement is approving AI tools nobody has assessed. Legal is fielding AI clauses no playbook covers. Your TPRM program was built for SaaS, not for models that change after signature. As an adjacent specialty, Clarevon governs the AI inside your vendor relationships: the questions, the risks, the contracts, and the monitoring.
Start with the $2,500 SnapshotFour moments where AI vendor risk is created.
Clarevon works across the vendor lifecycle, where the risk can still be controlled.
Before access
AI-specific intake and due diligence: training rights, model provenance, data flows, subprocessor AI, and incident history.
At assessment
Risk tiering built for AI, separating a vendor that drafts copy from one that touches customer data or makes decisions about people.
At signature
MSA addenda and DPA review for the AI layer: model change notice, training-data limits, output accountability, audit and exit rights.
After signature
Monitoring rhythms and re-assessment triggers, because the vendor you assessed in January is not the vendor you have in June.
Clarevon is the governance architect, not the technical validator. Where deep technical evidence is needed, such as model security architecture or penetration results, the framework defines what your security team reviews and how it feeds the governance decision.
Ways to engage.
Most clients start with the Snapshot. It shows exactly what the governance gap looks like in your own stack.
AI Vendor Risk Snapshot
Pick one AI vendor already in your stack, or one you are about to sign. Clarevon reviews it end to end.
- Written vendor risk memo covering data flows, training rights, contract gaps, and tiering
- NIST AI RMF mapping against your existing TPRM controls
- 60-minute readout for your stakeholders
- Delivered in ten business days
AI Vendor Readiness Assessment
A full diagnostic of your AI vendor governance posture: inventory, exposure mapping, and gap analysis against NIST AI RMF, ISO 42001, and EU AI Act obligations.
AI Governance Framework Design
The full accountability architecture, built with your team: risk tiering matrix, AI-specific intake questionnaire, MSA addenda, ownership model, and monitoring rhythms.
Fractional AI Governance
Senior governance leadership embedded in your vendor management operation: intake reviews, contract support, monitoring cycles, and board-ready reporting.
Find the gap before an audit does.
A 30-minute discovery conversation, no obligation.
Schedule a discovery call