From zero governance to audit-ready in 3 months — 12 high-risk systems fully remediated, 6 months before the deadline
A major European bank running 47 AI systems — including 12 classified as high-risk under the EU AI Act — with no centralized governance, no bias testing, and a board demanding compliance proof before August 2026.
Size: 10,000-50,000 employees
Achieve full EU AI Act compliance for high-risk AI systems before the August 2026 deadline, with audit-ready documentation and governance frameworks.
47 AI systems in production, including 12 high-risk systems for credit decisions and fraud detection
No centralized inventory of AI systems—models deployed across multiple teams without consistent governance
Credit scoring model lacked required explainability and bias testing documentation
Fraud detection system couldn't demonstrate the human oversight required under Article 14
Customer service chatbot needed transparency measures under Article 50
Board demanded compliance proof 6 months before deadline to satisfy regulators
Implemented the GOVERN Framework™ for complete EU AI Act compliance—from system inventory through technical measures, documentation, and ongoing monitoring.
Conducted complete AI system discovery and risk classification. For each high-risk system, implemented required technical measures (bias testing, explainability, human oversight) and created compliant documentation. Established AI governance office with clear roles, processes, and audit trails. Designed for sustainability—the framework supports ongoing compliance as new systems are deployed.
Complete AI system inventory across all business units. Risk classification per Annex III. Gap analysis against Articles 9-15 requirements. Prioritized 12 high-risk systems for immediate remediation.
3 weeksImplemented bias testing framework (demographic parity, equalized odds). Added SHAP-based explainability to credit scoring. Designed human-in-the-loop workflows for automated decisions over €10K.
5 weeksCreated technical documentation per Annex IV. Established AI risk management system. Designed conformity assessment procedures. Built model registry with automatic documentation generation.
3 weeksConducted mock audit with external counsel. Trained AI governance team on ongoing compliance. Established continuous monitoring for model drift and bias. Created incident response procedures.
2 weeksAchieved audit-ready compliance for all 47 AI systems, with 12 high-risk systems fully documented and monitored. Passed external compliance review 6 months before the August 2026 deadline.
“The biggest compliance risk is not what you know about — it is the AI systems nobody inventoried. Every bank I have worked with discovered at least 30% more AI systems than they thought they had. You cannot govern what you cannot see.”