NIST AI RMF Assessment.
Measure your AI program against the NIST AI Risk Management Framework.
The problem
You’re using AI. But do you have policies? Defined roles and responsibilities? A complete inventory of AI systems? Risk classifications? Audit trails? For most organizations, the answer to every one of those questions is no.
Documented governance is what regulators and enterprise customers now expect. When it is missing, the cost shows up first as deal friction in security review, and later as regulatory exposure. The NIST AI Risk Management Framework gives that governance a structure. This assessment measures you against it and shows where the gaps are.
What’s included
What you get
Who this is for
Methodology
Stakeholder interviews across leadership, security, legal, and engineering. AI system inventory. Current state documentation.
Gap assessment against the NIST AI RMF functions, mapped to ISO 42001 and industry-specific requirements. Per-system risk classification.
Gap matrix, governance framework, policy recommendations, 30/60/90-day roadmap, and an executive presentation for leadership and the board.
Where this leads
The NIST AI RMF Assessment is one half of the AI Governance & Compliance engagement. When regulatory exposure is also in play, that engagement adds EU AI Act classification and industry-specific compliance to the same assessment.
FAQ
A voluntary framework published by the US National Institute of Standards and Technology for managing risk across the AI lifecycle. It is organized around four functions, Govern, Map, Measure, and Manage, and is widely used as a baseline for AI governance programs.
Yes. NIST AI RMF is the baseline, and findings are mapped against ISO 42001 and any industry-specific requirements relevant to the engagement, so a single assessment supports more than one framework.
No. The assessment works for organizations with no existing program and provides an honest measurement of where you stand against the framework today.
Traditional IT audits focus on infrastructure, access controls, and network security. The NIST AI RMF adds dimensions specific to AI: model risk management, data provenance, algorithmic accountability, bias monitoring, and AI-specific regulation.
Yes. The deliverables provide a foundation and a clear roadmap toward ISO 42001 certification readiness.
Book a 30-minute call to discuss where your AI program stands against the NIST AI RMF.