GDPR AI Compliance Audit
Find the gaps before regulators do
Your AI systems process personal data. The question isn't whether you need a compliance audit — it's whether you can afford to wait. We combine deep AI expertise with Swiss data protection standards to audit your entire AI stack.
The Problem with AI Compliance
Traditional GDPR audits miss AI-specific risks. Your chatbot logs conversations. Your recommendation engine profiles users. Your fraud detection model makes automated decisions about people. Standard privacy assessments weren't built for this.
Training data may contain personal data you don't know about
Model outputs can leak PII from training sets
Automated decisions require Article 22 safeguards
Data subject rights (erasure, portability) are technically complex for ML models
Cross-border data transfers in cloud AI pipelines
Consent mechanisms rarely cover AI-specific processing
Quick Answers
How much does a GDPR AI compliance audit cost?
Our GDPR AI compliance audit starts at CHF 15,000 for a focused assessment of core AI systems. Comprehensive audits covering multiple AI products, cross-border data flows, and EU AI Act alignment typically range from CHF 20,000–35,000. The exact scope depends on the number of AI systems and complexity of your data architecture.
How is this different from a standard GDPR audit?
Standard GDPR audits check policies and processes. Our AI-specific audit goes deeper: we assess training data provenance, model memorization risks, automated decision-making compliance (Article 22), technical feasibility of data subject rights for ML models, and alignment with the EU AI Act. Traditional auditors miss these AI-specific risks.
Do we need to share our model weights or proprietary code?
No. We audit at the architecture and data flow level. We review system designs, data pipelines, API interfaces, and processing documentation — not your proprietary models or source code. For deeper technical assessments (like memorization testing), we work with your team in a controlled environment.
How long does the audit take?
A focused audit takes 4–6 weeks from kickoff to final report. This includes discovery (1 week), technical assessment (2 weeks), analysis (1 week), and remediation planning (1–2 weeks). For organizations with many AI systems, we can phase the audit to prioritize highest-risk areas first.
Will this prepare us for the EU AI Act?
Yes. Our audit includes EU AI Act risk classification for all your AI systems, identifies high-risk system obligations, and maps required conformity assessment steps. Since the AI Act and GDPR overlap significantly for AI systems processing personal data, addressing both together is more efficient.
What We Audit
Data Pipeline Compliance
Tracing personal data from ingestion through preprocessing, training, inference, and storage. Identifying lawful bases, consent gaps, and retention violations.
Model Privacy Assessment
Evaluating models for memorization risks, output leakage, membership inference vulnerabilities, and extraction attacks that could expose training data.
Automated Decision-Making
Article 22 compliance review: profiling mechanisms, human oversight requirements, meaningful explanation capabilities, and right-to-contest workflows.
Data Subject Rights
Technical feasibility of erasure (right to be forgotten for ML), access requests, portability, and objection mechanisms across your AI infrastructure.
Cross-Border & Third-Party
Transfer mechanisms for cloud AI providers, processor agreements, sub-processor chains, and adequacy decisions affecting your AI data flows.
EU AI Act Alignment
Risk classification of your AI systems, high-risk obligations, transparency requirements, and conformity assessment readiness under the EU AI Act.
Audit Process
From discovery to remediation in 4–6 weeks
Discovery & Scoping
Map all AI systems processing personal data. Document data flows, legal bases, and existing safeguards. Define audit scope and priorities.
Technical Deep Dive
Hands-on assessment of AI pipelines, model architectures, and data infrastructure. Privacy impact assessment for each AI system.
Gap Analysis & Risk Scoring
Identify compliance gaps, score risks by severity and likelihood. Map findings to specific GDPR articles and EU AI Act requirements.
Remediation Roadmap
Prioritized action plan with technical specifications. Quick wins, medium-term fixes, and architectural changes. Cost estimates and timeline.
What You Get
Compliance Gap Report
- Complete inventory of AI systems and data flows
- Per-system compliance scoring (red/amber/green)
- Specific GDPR article mapping for each finding
- EU AI Act risk classification assessment
Technical Remediation Plan
- Prioritized fixes with effort estimates
- Architecture recommendations for privacy-by-design
- Data minimization and anonymization strategies
- Consent and transparency implementation specs
Executive Summary & DPO Brief
- Board-ready compliance status overview
- Risk exposure quantification
- Regulatory timeline and deadline mapping
- ROI analysis for compliance investment
Who Needs This Audit
Don't wait for the regulator's letter
GDPR enforcement is accelerating. The EU AI Act adds new obligations from August 2026. Get ahead of compliance requirements with a thorough audit of your AI systems.
Schedule Your Audit