Global AI Governance

Governance frameworks: AI Act, NIST, ISO

The EU AI Act, NIST AI Risk Management Framework, and ISO/IEC 42001 each impose distinct obligations on how AI systems are designed, documented, and deployed. We help you map your products against these regimes, identify the controls that actually apply, and stand up the documentation, risk assessments, and accountability structures regulators expect.

• →EU AI Act risk classification (prohibited, high-risk, limited, minimal) + Annex III screening
• →NIST AI RMF Govern / Map / Measure / Manage functions
• →ISO/IEC 42001 AI management system controls
• →One control set, mapped simultaneously to all three regimes

AI registry & inventory

You cannot govern what you have not catalogued. We build a living inventory of every AI system you build or buy—purpose, data lineage, model provenance, risk tier, and owner—so you can answer an enterprise security questionnaire or a regulator without a fire drill. This is the system of record auditors and customers increasingly demand.

Layered approaches to the rollout of AI systems and models

Bringing a model from research to general availability rarely happens in one step. We design phased rollout strategies—internal pilots, limited releases, model cards, red-teaming, human-in-the-loop checkpoints—so legal risk is contained as capability expands. Governance scales with deployment, not after it.

Impact assessments & human oversight

High-risk AI triggers impact assessments (DPIAs and, increasingly, fundamental-rights impact assessments), documented human-oversight measures, and incident-reporting workflows. We operationalize these as approval gates inside your build process—not as paperwork bolted on after launch—so compliance moves at engineering speed.

Cross-border legislation tracker

AI rules are landing across the EU, UK, US states, and APAC at different speeds and with different definitions. We maintain a continuously updated tracker of the laws that touch your products, flag changes that demand action, and translate regulatory drift into concrete engineering and policy adjustments.