AI Governance

Governance is usually treated as the brake on AI adoption. Done well it is the opposite: clear rules on what teams may build, with what data, under what review, are exactly what let projects move without a bespoke legal debate every time.
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We build governance that fits how your organization actually works — proportionate to risk, mapped to the regulations that genuinely apply to you, and operationalized in tooling and workflow rather than left in a policy document nobody opens.

We build governance that people can follow and auditors can verify:

• Regulatory & Obligation Mapping: Identifying which frameworks apply — EU AI Act, NIST AI RMF, ISO 42001, sector rules — and what each requires of you.
• AI Inventory & Risk Tiering: Cataloguing every model and AI feature in use, then classifying by risk and impact.
• Policy & Standards Development: Writing usable policy on acceptable use, data handling, procurement, and human oversight.

You receive an operating governance program: a complete AI system inventory with risk tiering, a regulatory obligation map, policies and standards written for your organization, model risk assessment templates and review workflows, monitoring and incident response procedures, role-specific training materials, and an audit-ready evidence pack demonstrating control effectiveness.