AI Strategy, Infrastructure Architecture & Security Research
Infrastructure and cybersecurity · Based in Cologne, Germany. Available for engagements in Vienna and across DACH.
The advisory approach connects AI risk assessment, technical documentation, human oversight and operational controls. Applicable duties depend on the system, organizational role and jurisdiction; this is not a guarantee of compliance. Enterprise infrastructure and cybersecurity form the foundation of the advisory work. See the career background for the scope of previous roles.
Effective AI governance spans four interconnected dimensions, all of which must be designed together.
AI risk classification, model risk registers, incident response procedures, and ongoing monitoring for model drift, bias, and system failures.
The advisory approach connects AI risk assessment, technical documentation, human oversight and operational controls. Applicable duties depend on the system, organizational role and jurisdiction; this is not a guarantee of compliance.
Technical documentation standards, model cards, data governance records, and audit trails that demonstrate responsible development and deployment decisions.
Cybersecurity controls for AI systems: adversarial robustness, data integrity, access controls, and resilience measures for mission-critical AI applications.
AI governance for DACH organizations must navigate multiple overlapping frameworks. The advisory work integrates these into a coherent, practical governance structure rather than siloed compliance exercises.
The advisory approach connects AI risk assessment, technical documentation, human oversight and operational controls. Applicable duties depend on the system, organizational role and jurisdiction; this is not a guarantee of compliance.
An AI governance consultant designs the governance framework your AI program needs: risk classification processes, model documentation standards, oversight mechanisms, incident response procedures, and the accountability structures required by the EU AI Act and ISO 42001.
AI governance is the broader organizational capability to manage AI responsibly. EU AI Act compliance is a specific regulatory requirement. Good governance makes compliance easier, but governance design should go beyond minimum regulatory requirements to protect the organization and build long-term trust.
Enterprise infrastructure and cybersecurity form the foundation of the advisory work. See the career background for the scope of previous roles. Research is not evidence of clinical deployment, regulatory approval or a clinical-performance improvement. No such outcome is claimed here. Security and governance are advisory topics, not guarantees of legal compliance, certification or regulatory approval.
Connect to discuss your organization's AI governance needs, whether you're starting from scratch or strengthening an existing program to meet EU AI Act expectations.