Risk Classification
Every AI use case assessed against EU AI Act categories. Minimal, limited, high or unacceptable, with clear criteria and traceable documentation.
Risk classification, AI literacy and audit trail aligned with the EU AI Act. We anchor AI governance in operations so compliance is part of the operating model, not a blocker.
AI literacy is mandatory since 2025. High risk systems must be classified, documented and monitored by 2026. Building structures now saves rework later.
Governance often enters the conversation only after the pilot is running. Risk classification, data lineage and human oversight are then reconstructed under pressure, with incomplete documentation and often more expensive than necessary.
We build AI governance as an operating system. Clear roles, documented controls, auditable decisions. EU AI Act and internal policies flow into one frame instead of parallel paper worlds.
Four priorities that interlock in every governance mandate. From policy to operational control.
Every AI use case assessed against EU AI Act categories. Minimal, limited, high or unacceptable, with clear criteria and traceable documentation.
Roles, responsibilities and decision paths from data ownership to model release. Integrated into existing governance, not a parallel universe.
Mandatory under EU AI Act Article 4. Role based training, documented participation, repeatable rhythm. Audit ready, without dry swim.
Data provenance, model versions, decisions and human overrides logged end to end. Auditors find evidence, not question marks.
Eight to sixteen weeks depending on portfolio and existing regulatory depth. We work with legal, audit and IT together, not sequentially.
Review existing AI applications, classify, document. Gap analysis against EU AI Act and internal policies. Output: robust status, prioritized action list.
Define roles, policies and controls. AI literacy curriculum, model card and audit trail templates. Output: rolled out governance framework.
Integrate controls into the lifecycle. Release, monitoring and reviews as routine, not project. Output: governance that runs without being carried externally.
A frame that audit and business accept, and an organization that sets up new use cases compliant on its own.
Risk class, data lineage, model version and decisions documented. Auditors find answers, not gaps.
AI literacy, transparency and human oversight anchored where required. Deadlines met, not missed.
Standard controls and templates shorten release cycles. New use cases start with clarity, not debate.
Controls run with the lifecycle, not outside it. Your team evolves governance on its own.
30 minutes. Initial assessment of portfolio risk and AI Act actions. No commitment.