AI Governance Frameworks

The NIST AI Risk Management Framework organizes AI governance into four functions that work together. GOVERN establishes the policies, roles, and culture your organization needs to manage AI responsibly. This is where leadership commitment becomes tangible through documented accountability, clear escalation paths, and defined risk tolerances.

MAP identifies and categorizes every AI system in your environment. You can't govern what you can't see, so this function builds a complete picture of where AI lives in your organization, who uses it, what data it touches, and what decisions it influences. Each system gets a risk profile based on its context, impact, and the population it affects.

MEASURE establishes how you evaluate AI systems against your defined criteria. This goes beyond accuracy metrics into fairness, reliability, transparency, and security assessments. MANAGE then takes those measurements and turns them into action through prioritized response plans, continuous monitoring, and documented treatment of identified risks.

For organizations deploying generative AI, we also implement the NIST AI 600-1 profile, which extends the base framework with controls specific to foundation models, prompt management, and generated content risks. The goal is operational governance that your teams actually follow, not a binder that collects dust.

The EU AI Act is the first comprehensive AI regulation with real enforcement teeth. It classifies AI systems into four risk tiers. Unacceptable risk systems, such as social scoring and real time biometric identification in public spaces, are banned outright. High risk systems covering employment, credit, education, and critical infrastructure face strict conformity requirements. Limited risk systems carry transparency obligations, and minimal risk systems remain largely unregulated.

Enforcement is already underway. Prohibited practices took effect in February 2025. Transparency requirements for general purpose AI models land in August 2025. The full high risk compliance obligations activate in August 2026. If your organization sells into the EU, processes EU resident data, or deploys AI systems whose outputs affect people in the EU, these timelines apply to you regardless of where you are headquartered. That extraterritorial scope catches more organizations than most realize.

Penalties reach up to 35 million euros or 7% of global annual turnover, whichever is higher. Those numbers make GDPR fines look modest. We help you classify your systems accurately, identify gaps against the relevant tier requirements, and build a compliance roadmap that aligns with the enforcement timeline so nothing catches you off guard.

ISO/IEC 42001 is the international standard for AI Management Systems, commonly referred to as AIMS. Think of it as ISO 27001 for AI. It provides a structured management system approach with 38 controls organized across 9 objectives, covering everything from AI policy and leadership commitment to risk assessment, data governance, and performance evaluation.

Certification tells your customers, partners, and regulators that an independent auditor has verified your AI governance practices meet an internationally recognized standard. For organizations in regulated industries or those selling AI products into enterprise markets, this certification is quickly becoming a procurement requirement rather than a nice to have.

The certification cycle runs three years with annual surveillance audits. We help you design the management system, implement the required controls, build the documentation that auditors expect to see, and prepare your team for the certification audit itself. If you already have ISO 27001 or similar management system certifications, we leverage that existing infrastructure to accelerate your 42001 implementation significantly.

Most organizations don't face a single framework in isolation. You might need NIST AI RMF for your federal contracts, EU AI Act compliance for your European customers, and ISO 42001 for enterprise procurement. Treating each one as a separate project creates redundant work, conflicting documentation, and compliance fatigue across your teams.

Our harmonization approach maps every control and requirement across frameworks to identify overlaps. A risk assessment that satisfies NIST AI RMF's MAP function often satisfies ISO 42001 Clause 6 and the EU AI Act's Article 9 requirements simultaneously. One well designed control can serve three compliance needs. We typically find 40% to 60% overlap across these major frameworks, which translates directly into less work, lower costs, and faster timelines.

For organizations in regulated sectors, we add industry specific layers. Healthcare organizations get HIPAA AI considerations woven in. Financial services firms get SR 11-7 model risk management alignment. Government contractors get the OMB AI directives integrated. The result is a single governance program, backed by one evidence repository, that satisfies every framework and regulation your organization needs to address.