EU AI Act enforcement is here. Boards and senior executives carry direct legal accountability for AI systems they often do not understand and rarely oversee. These online intensives close that gap. This is built by a practitioner who has shipped production AI in banking and fintech across 17 countries, not by a consulting firm that hasn't.
Three reasons European banking leadership needs different AI training today.
The EU AI Act places direct legal accountability on boards and senior executives and not just on the technical teams. Understanding AI systems is no longer optional for leadership; it is a fiduciary obligation. Every session in this programme is built around that reality.
Credit scoring models, fraud detection systems, AML screening tools are the most European banks are already running AI systems classified as high-risk under EU AI Act Annex III. Most have no governance documentation, no model inventory, and no board oversight structure to evidence.
Built by someone who led AI functions at 4Finance across 17 countries and Zeta Global running 200 million daily predictions. Every framework in these sessions was pressure-tested in live fintech and banking environments first and then made teachable.
Each programme delivers full value as a standalone online intensive. Together they form a complete AI capability development pathway — from board to compliance function. Content is continuously updated to reflect current EU AI Act guidance and EBA developments.
Most enterprise AI initiatives fail not because of technical limitations, but because of flawed strategic decisions made at the leadership level. This online intensive equips senior banking leaders with the strategic clarity, practical frameworks, and a bank-specific action plan they need to lead AI transformation in their institution without requiring any technical background. Modelled on the MIT Sloan executive education approach and informed by 20 years of enterprise AI deployments across 17 countries.
Most organisations appoint AI leaders without giving them the frameworks, vocabulary, or tools they need to succeed. This online intensive is the bridge — built for banking professionals who have been handed AI responsibility and need a structured methodology to execute it. Participants leave with a complete AI organisational blueprint and strategy canvas ready to present to their own leadership: not a theoretical framework, but a working document built across the session. Advanced continuation modules are available for those developing a full AI leadership function.
Board directors carry legal and fiduciary accountability for AI systems making consequential decisions — credit approvals, fraud flags, AML scoring — yet most have never received structured guidance on what that accountability means in practice. This online session provides the oversight literacy directors need to fulfil their governance duty and ask the right questions of management, without requiring any technical background. EU regulation is moving explicitly in the direction of board-level accountability, and supervisory expectations will reflect this.
AI systems are making consequential decisions in banks every day — approving or rejecting loans, flagging transactions, scoring creditworthiness, identifying fraud. The compliance, risk, and audit professionals responsible for governing these systems need a fundamentally different skill set than traditional compliance roles required. This online intensive delivers the technical literacy and EU regulatory depth needed to begin governing AI effectively and combining practical understanding of how models work with direct mapping to the frameworks your institution will be audited against. Advanced continuation modules are available for those building a full AI audit capability.
Every programme is mapped to the regulatory and governance frameworks European banking institutions are currently navigating or will be required to evidence to supervisors.
High-risk AI classification, Annex III obligations, and Articles 9, 10, 13, and 61. The primary legislative framework addressed across all four programmes.
European Banking Authority guidance on the use of machine learning and AI in banking — credit risk, fraud detection, and AML applications.
Bank for International Settlements principles for responsible AI use in central banking and financial services supervision frameworks.
Financial Stability Board recommendations for AI and ML in financial services — governance, explainability, and systemic risk management.
The international standard for AI management systems. Referenced throughout governance and compliance programmes as the audit-ready implementation framework.
Basel Committee model risk management guidelines as applied to AI model governance and validation in banking institutions.
Twenty years building production AI/ML systems at IBM, Cisco, 4Finance and Zeta Global — before becoming Professor of AI at SRH University Hamburg and an active advisor to European enterprises on EU AI Act compliance. Every concept in these programmes maps directly to production systems that have run in fintech and banking environments. This is not consulting theory.
At 4Finance, led AI strategy across 17 countries and built the company's first ML credit scoring platform, delivering GDPR compliance 18 months ahead of the enforcement deadline. At Zeta Global, founded the European AI Centre of Excellence and scaled to 200 million daily predictions for 45+ Fortune 500 clients.
Programmes are available for individual participants, small cohorts, and institutional delivery for a single organisation's team. Share a few details and I will respond personally to discuss format, timing, and scope.
15 questions. 10 minutes. Instant scoring across five EU AI Act dimensions. No email required. Understand your institution's exposure before deciding which programme fits your team.