EU AI Act Compliance: From Zero Governance to Audit-Ready Using the GOVERN Technique

About the Client

This case study illustrates the GOVERN technique for achieving EU AI Act compliance. The scenario demonstrates our systematic approach to AI system inventory, risk classification, and remediation. Illustrative scenario, not a specific client engagement.

Size: Typical engagement: 10,000–50,000 employee financial institutions

The Challenge

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

My Solution

Implemented the GOVERN technique 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.

Implementation Phases

• 3 weeksDiscovery & ClassificationComplete AI system inventory across all business units. Risk classification per Annex III. Gap analysis against Articles 9-15 requirements. Prioritised 12 high-risk systems for immediate remediation.
• 5 weeksTechnical Measures ImplementationImplemented 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.
• 3 weeksDocumentation & GovernanceCreated technical documentation per Annex IV. Established AI risk management system. Designed conformity assessment procedures. Built model registry with automatic documentation generation.
• 2 weeksAudit Preparation & TrainingConducted mock audit with external counsel. Trained AI governance team on ongoing compliance. Established continuous monitoring for model drift and bias. Created incident response procedures.

MLflow (Model Registry) · SHAP/LIME (Explainability) · Fairlearn (Bias Testing) · Great Expectations (Data Quality) · Evidently AI (Monitoring) · Confluence (Documentation) · ServiceNow (Governance) · Python · SQL

Results & Impact

Illustrative scenario: reaching audit-ready EU AI Act readiness for an indicative enterprise AI portfolio.

Services Delivered

EU AI Act Compliance · AI Strategy Sprint · AI Governance Implementation · Technical Documentation · Training & Capability Transfer

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