The AI-driven transformation of the financial sector is in full swing: scalable credit decisions, efficient fraud detection, AML monitoring, personalized customer experiences, and automated back-office processes demonstrate the potential, while regulatory requirements and liability risks are rising. With the EU AI Act, a new phase begins: for the first time there is a binding, risk-based legal framework for the use of business-critical AI, linked with existing regulations such as the GDPR, DORA, and MaRisk.
The EU AI Act provides legal certainty, trust, and scalability. In practice, however, heterogeneous AI landscapes, unclear roles (provider vs. deployer), a lack of use-case transparency, and the prioritization of high-risk applications slow down implementation. Violations can lead to bans, recalls, and heavy fines.
Effective compliance does not come from checklists, but from a structured approach that strengthens governance, controls risks, and creates value. Our white paper shows how financial institutions can anchor the EU AI Act as an integral part of the business and operating model (not just an IT or legal project) and implement it sustainably with a three-phase framework and targeted training.
In this white paper, you learn about:
- EU AI Act obligations, timelines, and key to-dos to enable swift action
- Risk-based AI classification and how to categorize high-risk systems in a compliant manner
- A three-phase framework for prioritization and integration into existing structures
- Governance and operating model adjustments, along with clear roles and controls
- Building AI capability, including training and guardrails for LLMs
