AI Procurement Due Diligence Guide
Category: Academy · Stage: Governance
By Max Beech, Head of Content
Updated 18 August 2025 · Expert review: [PLACEHOLDER: Head of Procurement]
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.
- What does AI procurement due diligence cover?
- How do you run the process in Chaos?
- How do you maintain compliance?
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](/blog/ai-compliance-readiness-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
Scorecard keeps vendor due diligence consistent.
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.
Next steps
- List current AI vendors and log them in Chaos.
- Gather missing evidence and assign remediation tasks.
- Book quarterly procurement reviews aligned with compliance.
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