AI Governance & Compliance

A typical AI system architecture

AI governance frameworks that exist only as a policy document nobody references when a new model gets built aren't governance, they're liability theater. We build AI governance into the actual development process: a risk classification step every new AI initiative goes through before development starts, not a compliance review bolted on right before launch when changing course is expensive. For organizations operating in the EU, we map each AI system against EU AI Act risk categories, minimal, limited, high, or prohibited, since the compliance obligations differ substantially by category and treating every system as equally regulated wastes effort on low-risk systems while potentially under-investing in genuinely high-risk ones. ISO 42001 readiness work follows the same principle: we assess your current AI management practices against the standard's actual requirements, not a generic checklist, and prioritize remediation by what an external auditor will actually scrutinize first. Every governance engagement includes documentation your team can maintain independently after we leave, an audit trail of AI system decisions, risk assessments, and monitoring, because governance that depends on outside consultants to sustain isn't governance your organization actually owns.