AI Governance & EU AI Act
Frame enterprise adoption of generative AI and structure compliance under the European AI Act without hindering business innovation.
Business Innovation vs. Risk Control & Compliance
Rapid deployment of generative AI tools (LLMs, autonomous agents, copilot software) introduces immediate legal, reputational, and technical risks: trade secret leakage, GDPR non-compliance in model training or inference, algorithmic bias, and strict mandates imposed by the EU AI Act based on risk tiering.
Delivery Methodology
AI Use-Case Mapping & Shadow AI Audit
Comprehensive inventory of deployed AI tooling, internal tests, third-party API dependencies, and proprietary model developments.
Risk Tier Classification under the EU AI Act
Legal qualification: prohibited practices, high-risk AI systems (HR, credit scoring, biometrics), and transparency-obligated models.
AI-Specific Impact Assessments (DPIA / PIA)
Evaluating data ingestion, prompt pipelines, model vendor data transfers, and data subject fundamental rights protection.
Internal Governance Policies & AI Charters
Formulating decision principles, workforce operational charters, AI steering committee workflows, and Human-in-the-Loop oversight.
Tangible Deliverables
- Documented AI use-case map and AI Act risk classification matrix
- Comprehensive DPIA dossiers dedicated to enterprise LLM / AI integrations
- Enforceable internal Generative AI Usage Charter for employees and contractors
- AI vendor procurement evaluation grid (GDPR, security, data sovereignty)
- Operational governance framework with dedicated corporate AI Steering Committee
Direct Contact
Let's discuss your regulatory context.
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