Policy & Governance

As AI systems move from pilot to production, organisations face a widening gap between regulatory obligations (EU AI Act, GDPR, DSA, DMA, NIS2) and the day-to-day decisions of product, procurement and risk teams. Without a coherent governance fabric, exposure compounds silently — through unmanaged third-party models, opaque data flows, and decisions no one can later defend.

Most current playbooks lean either on legalistic checklists, which produce paperwork without behavioural change, or on engineering-led red-teaming, which catches failure modes but rarely informs strategy. Both miss the political economy of AI inside the organisation: who decides, who is accountable, and how those decisions are documented.

We design lightweight, evidence-based governance that lives where the work happens. We translate horizon regulation into operating doctrine, build decision rights and escalation paths, and embed measurable controls into existing product and procurement cycles. The output is not a policy PDF — it is a governance system your teams will actually use.