AI governance and regulation
Making AI use visible and accountable without slowing delivery, and understanding where regulation such as the EU AI Act applies.
AI governance covers the practical decisions that keep AI use safe and accountable. Which data can be used, which tools are approved, how outputs get reviewed, and who’s responsible when something goes wrong. Regulation sits alongside it, with the EU AI Act the most developed example.
Most of my clients are UK companies, so the Act rarely applies to them directly. It still matters. Clients who sell into the EU inherit obligations through their customers, and the Act’s risk-based tiers are a useful way to decide how much oversight any given use of AI actually needs.
I help companies put a light governance layer in place, sized to their risk, so AI projects can move quickly without creating problems later.