Why it matters: The EU AI Act demands risk assessments and transparency for high-risk systems.[1] Chaos keeps vendor evidence organised, auditable, and easy to refresh.
TL;DR
- Score vendors on risk, transparency, and integration effort.
- Store contracts, DPIAs, and security evidence in Chaos.
- Trigger renewals and audits via the compliance roadmap.
| Criterion | Question | Evidence |
|---|---|---|
| Risk tier | Is the system high-risk? | AI Act classification + mitigation plan |
| Data handling | How is data stored & deleted? | DPA, SOC2, ISO evidence |
| Integration | How will it connect? | Technical diagrams, API docs |
What does AI procurement due diligence cover?
Assess legal, security, ethical, and technical fit. Capture vendor contacts, model provenance, and response to the data hygiene checklist.
How do you run the process in Chaos?
Use an intake form to gather vendor info, review it with legal and security, and assign tasks. Chaos automations chase missing evidence and log decisions.
How do you maintain compliance?
Schedule renewal reviews, monitor AI Act updates, and sync obligations with the readiness roadmap. Deloitte’s 2024 Trustworthy AI study stresses continuous reassessment, not set-and-forget.[2]
Key takeaways
- Score vendors consistently to satisfy AI Act obligations.
- Store contracts, DPIAs, and evidence in Chaos for instant audits.
- Automate renewals so compliance never slips.