EU AI Act & GDPR Compliance Checklist for Enterprise Software Teams
Determine EU AI Act Risk Classification
Map your software system to the appropriate statutory risk tier under the EU AI Act.
Review your application against Annex III high-risk definitions (employment screening, creditworthiness, critical infrastructure, biometric identification). If categorized as high-risk, prepare conformity assessments, comprehensive technical documentation, and mandatory human oversight architectures.
- Assess whether application falls under prohibited practices (social scoring, biometric categorization).
- Evaluate Annex III high-risk criteria for HR, financial underwriting, or access to essential services.
- Document risk mitigation measures and fail-safe operational boundaries.
Ensure GDPR Data Minimization & Right to Erasure (Article 17)
Design data pipelines where personal data can be deleted upon user request without retraining models.
Never train or fine-tune neural model weights on direct customer PII, as 'machine unlearning' cannot guarantee 100% removal. Implement RAG where customer data resides strictly in mutable database indices. When an Article 17 deletion request is received, delete the record from PostgreSQL/pgvector, instantly purging it from all future AI responses.
- No personal customer data utilized in irreversible base model training.
- Automated deletion pipelines purge vector embeddings upon GDPR erasure requests.
- Pre-inference PII scrubbing strips identifiers from prompt logs.
Enforce Data Residency & Zero Third-Party Egress
Keep all vector search, inference compute, and logs strictly within European economic boundaries.
Deploy your models, databases, and microservices in EU-based cloud availability zones (e.g., AWS eu-central-1 Frankfurt or Azure West Europe). Avoid US-hosted commercial API endpoints that transmit European personal data abroad without adequate Standard Contractual Clauses (SCCs) and Data Privacy Framework safeguards.
- Inference endpoints hosted in EU sovereign cloud availability zones.
- Zero egress of customer prompts to external public API providers.
- Signed Data Processing Agreements (DPAs) with all sub-processors.
Implement Human-in-the-Loop Oversight & Explainability
Ensure automated decisions affecting legal rights include mandatory human review checkpoints.
Under Article 14 of the EU AI Act, high-risk systems must be designed to enable human oversight. Implement two-person verification for consequential automated recommendations (e.g. loan denials, candidate rejections) and provide clear plain-language explanations of how the AI reached its determination.
- Human review dashboard required before final execution of automated decisions.
- Clear audit trail showing the retrieved evidence and reasoning behind recommendations.
- Interface clearly informs users that they are interacting with an AI system (Article 50 transparency).
Maintain Technical Documentation & Audit Logging
Codify system architecture, data provenance, and continuous validation logs.
Maintain living technical documentation detailing model architectures, training data provenance, evaluation methodologies, and cybersecurity controls. Retain version-controlled audit logs of all prompt interactions and model outputs for a minimum of six months.
- Living architecture documentation updated with every major software release.
- Immutable audit logs capturing user prompts, retrieved chunks, and model outputs.
- Regular cybersecurity penetration testing and adversarial vulnerability assessments.
Key Guide Questions Answered
What is the penalty for non-compliance with the EU AI Act?
Penalties for non-compliance range up to €35 million or 7% of global annual turnover for prohibited AI practices, and up to €15 million or 3% for other obligations, whichever is higher.
Does using an open-source model exempt a company from the EU AI Act?
No. The entity deploying the AI system in production is responsible for compliance with operational requirements, transparency rules, and human oversight obligations.
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Aurevion AI engineers dependable production artificial intelligence systems, sovereign retrieval-augmented generation pipelines, autonomous agentic workflows, and modern high-concurrency software applications. We partner directly with engineering leaders across North America and Europe, deploying zero-trust private cloud architectures with complete intellectual property ownership, deterministic reliability guarantees, and transparent sprint-based technical team collaboration.