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EU AI Act Compliance Checklist (On-Premise AI)
A practical one-page checklist for teams running AI on-premise or self-hosted: risk tiers, what each obligation requires, and the steps to evidence compliance. Enter your email to unlock it. Not legal advice.
โ Here it is โ bookmark or print this page.
1. Classify the risk tier
- Unacceptable โ banned (e.g. social scoring).
- High-risk โ hiring, credit, medical, critical infra โ strict obligations.
- Limited-risk โ chatbots/generation โ transparency duties.
- Minimal-risk โ most tools โ largely unregulated.
2. High-risk obligations
- โ Risk management system
- โ Data governance + training-data provenance
- โ Logging of inputs/outputs
- โ Human oversight of decisions
- โ Technical documentation + conformity assessment
3. GPAI (general-purpose models)
Transparency + technical docs + training-data summary; extra rules for systemic-risk models. Self-hosting an open model usually makes you a deployer, but you still inherit usage/documentation duties.
4. On-premise advantage
On-prem does NOT exempt you, but data, logs and the model stay in your perimeter โ making residency, audit logging and access control easy to evidence. Pin processing to an EU/sovereign location.
5. Action list
- โ Inventory every AI use case + assign a tier
- โ Enable input/output logging for high-risk systems
- โ Document data sources and governance
- โ Define human-oversight points
- โ Disclose AI interaction to users where required
- โ Confirm data residency / jurisdiction
- โ Track provider vs deployer responsibilities
General information, not legal advice. The Act phases in over time โ consult qualified counsel for your obligations and deadlines.
Read the full EU AI Act guide โ