AI Governance
My AI Governance focus builds on regulatory compliance experience and a legal background, supported by structured education, individual applied research, group academic work and continuing professional development.
Evidence basis
Experience translating regulatory expectations into governance, policies, controls and traceable implementation.
CAS in AI in Finance and further courses covering AI Governance, data protection and responsible adoption.
An individual CAS thesis, a group academic case study and continuing applied research.
Core AI Governance themes
Assessing AI use cases according to risk and proportionate control needs.
Clarifying roles, responsibilities and decision ownership.
Defining where review, challenge and escalation remain necessary.
Supporting traceability, rationale and evidence.
Considering testing, performance review and ongoing oversight.
Supporting appropriate interpretation and challenge of AI outputs.
Maintaining evidence that supports review and accountability.
Integrating AI in a controlled and proportionate manner.
CAS thesis
As part of the CAS in AI in Finance, I authored “AI-Driven Compliance in Financial Services: Navigating Risks and Governance toward Responsible Adoption”. The research considered Swiss financial institutions under FINMA supervision alongside the EU AI Act and US regulatory developments. It examined governance issues including bias, explainability, privacy, cybersecurity, hallucinations, model drift and skills gaps, and developed recommendations concerning risk classification, human oversight, validation, monitoring and audit trails.
Group academic work
I contributed analysis and recommendations to an academic group case study examining governance, privacy, security, quality assurance and deployment considerations for an internal generative AI platform in a financial institution. The work also assessed strategic and operational implications and considered training, monitoring, adoption measures and phased implementation to support a secure and compliant introduction.
Education & development
HWZ University of Applied Sciences in Business Administration Zurich
Saïd Business School, University of Oxford
Further certificates
General Data Protection Regulation (GDPR)
Generative AI for Everyone
Google AI Essentials
IBM Prompt Engineering Basics
Professional positioning
Current research focus
My ongoing applied research in regulatory compliance and AI Governance focuses on practical governance approaches for responsible AI adoption in financial services.
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