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Assessment & advisory

NIST AI RMF Assessment & AI Risk Advisory

Apply the NIST AI Risk Management Framework to your AI use cases with Govern, Map, Measure, and Manage, documented evaluations, and accountable risk decisions.

Discuss your NIST AI RMF requirements

What we assess

We use Govern, Map, Measure, and Manage to connect AI oversight with context, risk evaluation, and response. The review considers how evaluations are chosen, how limitations are recorded, who can approve deployment, and how changing performance or conditions trigger reassessment. The framework is voluntary and adaptable to the use case.

Evidence to prepare

  • AI inventory, decision context, stakeholders, governance roles, and risk criteria.
  • Evaluation plans and results, documented limitations, and risk-treatment decisions.
  • Monitoring, incident handling, supplier reviews, and approvals throughout the lifecycle.

Keep design evidence separate from operating evidence. An approved procedure shows how a control is designed; dated records show whether it ran consistently over the review period. Evidence should identify its source, owner, scope, and collection date.

What you receive

  • AI risk-management gap assessment organized around the four functions.
  • Use-case risk register and evaluation / monitoring responsibilities.
  • Roadmap aligned to existing ISO 42001 or regulatory readiness activities.

The assessment outcome

A repeatable process for understanding and managing AI risks. Applying the framework does not create a NIST certification or eliminate the need for use-case-specific testing and oversight.

Common questions

Does the AI RMF cover generative AI?

The framework can be applied to generative AI, with evaluation and controls tailored to the use case. Review the relevant NIST profiles and guidance when defining the engagement.

What determines the engagement timeline and cost?

The system boundary, number of entities and locations, existing control maturity, evidence availability, and assessment pathway determine the effort. Share your customer requirements and target milestone so we can define a realistic scope before proposing a schedule.

Framework reference: NIST — AI Risk Management Framework. Guidance reviewed October 4, 2026; confirm current requirements when scoping an engagement.

NIST AI RMF Assessment & AI Risk Advisory | Kenvora AI