Services · NIST AI RMF Assessment
NIST AI Risk Management Framework Assessment
We map existing AI development and deployment practice against the four NIST AI RMF functions — Govern, Map, Measure, and Manage — and identify control gaps. Output is a prioritized remediation roadmap suitable for internal governance review or federal procurement response.
What NIST AI RMF assessment covers
Govern
Assessment of organizational AI risk governance: policies, accountability structures, roles and responsibilities, and the processes by which AI risk decisions are made, escalated, and documented.
Map
Identification and categorization of AI risks across your deployed systems — context-specific risks based on the intended use, affected stakeholders, and potential impacts of each system.
Measure
Assessment of whether identified risks are being analyzed and tracked with appropriate rigor — metrics, test methods, benchmarks, and the measurement infrastructure that supports ongoing risk visibility.
Manage
Evaluation of risk treatment and response practices: prioritization criteria, remediation tracking, incident response processes, and the feedback loops that allow governance to improve over time.
How we approach it
We review existing documentation, interview relevant stakeholders, and assess current practice against the AI RMF subcategory controls. Gaps are identified by function and subcategory, prioritized by regulatory exposure and remediation effort, and documented with enough specificity to be actioned directly rather than interpreted by an additional layer of consultants.
The output is designed to be used: as a procurement response artifact, as the basis for a board-level AI governance briefing, or as the input to an internal remediation program. We write findings at the level of specificity the audience requires.
What you receive
A gap assessment mapped to the NIST AI RMF subcategory structure, a severity rating for each gap, and a prioritized remediation roadmap. Where the assessment is being used as a procurement response artifact, we format the findings to align with how federal agencies typically frame AI risk management requirements.
Who this is for
Federal contractors and subcontractors who need AI RMF alignment evidence, organizations responding to federal RFPs that include AI risk management requirements, enterprises standing up AI governance programs who want an independent baseline, and organizations that have deployed AI and want to understand their governance gaps before an audit surfaces them.
Frequently asked questions
What is the NIST AI Risk Management Framework?
The NIST AI Risk Management Framework (AI RMF) is a voluntary framework published by the National Institute of Standards and Technology to help organizations manage AI risk throughout the system lifecycle. It is organized around four functions: Govern (establishing AI risk governance), Map (identifying and categorizing AI risks), Measure (analyzing and assessing risk), and Manage (prioritizing, responding to, and monitoring risk). In U.S. federal procurement, alignment with the AI RMF is increasingly expected of AI vendors.
Is the NIST AI RMF required for federal contractors?
The AI RMF is voluntary for most organizations, but in federal procurement it functions as a de facto requirement in many contexts. Federal agencies increasingly include AI risk management expectations in acquisition criteria, and vendors who can demonstrate AI RMF alignment have a material advantage in procurement competitions. The framework is also referenced in the Executive Order on Safe, Secure, and Trustworthy AI.
How long does a NIST AI RMF assessment take?
Timeline depends on the number of AI systems in scope, the maturity of existing risk management practices, and the depth of documentation review required. A scoped assessment against a single system typically completes in weeks. An organization-wide program assessment takes longer. We size the engagement after reviewing your AI portfolio and existing governance artifacts.