In-depth regulatory knowledge – technically feasible
Compliance consultants know the legal provisions. We understand what they mean in technical terms. And how to implement them.
EU AI Act (Regulation 1024/1689)
📜 Article-by-article expertise
Our understanding goes beyond the superficial:
Article 6: Classification rules for high-risk AI
- We know Annex III by heart (8 high-risk areas)
- We understand the exceptions and borderline cases.
- We can classify your systems correctly
Article 9: Risk management system
- We know what "risk management system" actually means.
- We can help you implement one
- We are familiar with integration with ISO 31000
Article 10: Data Governance
- Relevant, sufficiently representative, free of errors, complete
- We translate this into measurable metrics (Great Expectations)
- We document it in an audit-proof manner
Article 13: Transparency obligations
- We know what information users need
- We create model cards that are compliant
- We make black boxes transparent (SHAP)
Article 14: Human Oversight
- We design human-in-the-loop workflows
- We identify where oversight is critical
- We implement override mechanisms
Article 15: Accuracy, Robustness, Cybersecurity
- We test accuracy across subgroups
- We evaluate robustness (adversarial testing)
- We integrate with your security architecture
Article 72: Post-market monitoring
- We build monitoring systems (Alibi Detect)
- We create monitoring plans
- We document continuous compliance
Article 73: Serious Incident Reporting
- We define "serious incident" for your context
- We implement incident detection
- We prepare notifications for authorities
Integration with other regulations:
🔗 Seamless compliance integration
GDPR (General Data Protection Regulation):
- Article 22 (Automated Decision-Making) + AI Act
- Article 35 (DPIA) Integration with AI Risk Assessment
- Special categories (Art. 9) in AI training data
ISO/IEC 42001:2023 (AI Management System):
- We support ISO 42001 certification
- AI Act compliance = large part of ISO 42001
- Governance structures that fulfill both
Industry-specific regulation:
- Finance: BaFin, EBA Guidelines
- Healthcare: MDR, IVDR
- Automotive: UNECE R155/R156
- Public Sector: e-Government Standards
Standards & Frameworks
📚 Comprehensive standards portfolio
ISO/IEC standards:
- ISO/IEC 42001:2023 – AI Management System
- ISO/IEC 23894:2023 – AI Risk Management
- ISO/IEC 24029 – Assessment of Robustness
- ISO/IEC 24027 – Bias in AI Systems
IEEE Standards:
- IEEE 7000 – Ethically Aligned Design
- IEEE 7001 – Transparency in AI
- IEEE 7002 – Data Privacy Process
NIST (US, but globally relevant):
- NIST AI Risk Management Framework
- NIST AI 100-2 (Explainability)
BSI (German):
- AIC4 – AI Cloud Service Compliance Criteria
- BSI AI Testing Catalog (under development)
OECD:
- OECD AI Principles (internationally recognized)
Our approach:
We pragmatically combine these standards with AI Act requirements for comprehensive compliance.
Evidence-Based AI Governance
We are not trend consultants. Our methodology is based on scientific rigor and decades of experience.
🎓 Doctor of Business Administration in Data Science
Research focus:
- Responsible AI & AI Ethics
- AI governance frameworks
- Algorithmic fairness
- Explainable AI (XAI)
Academic networks:
- Cooperation with German universities
Why this matters:
Scientific training means rigor. Our recommendations are evidence-based, not opinion-based.
