Assessment framework · Data & AI
NIST AI RMF assessment
The NIST AI Risk Management Framework (AI RMF) is a voluntary US framework for managing risks of AI systems, structured around four functions: Govern, Map, Measure and Manage.
Score AI risk practice across the NIST AI RMF Govern, Map, Measure and Manage functions.
What it covers
Inside a NIST AI Risk Management Framework assessment.
Celeredge scores AI risk practice across the AI RMF functions and the characteristics of trustworthy AI, and ranks the gaps in governance and measurement.
- Scored on NIST AI Risk Management Framework's own scale — not a generic rubric
- Every score traceable to the client's own evidence
- Gaps ranked by severity, ready to become the plan
- A board-ready slide deck and detailed report, generated automatically
How it works
From the client's documents to a board-ready deck.
1 · Evidence in
Upload the client's documents — policies, reports, data. An AI interviewer asks targeted follow-ups to fill anything missing.
2 · Scored on the standard
Every dimension is scored on the framework's own scale, with each score traceable to the evidence behind it — gaps ranked by severity.
3 · Board-ready out
A board-ready slide deck and HTML report are generated automatically — executive summary, maturity landscape and a sequenced plan.
Questions
NIST AI Risk Management Framework assessment — FAQ
What is NIST AI Risk Management Framework?
The NIST AI Risk Management Framework (AI RMF) is a voluntary US framework for managing risks of AI systems, structured around four functions: Govern, Map, Measure and Manage.
What does a Celeredge NIST AI Risk Management Framework assessment deliver?
An evidence-based maturity or readiness assessment scored on NIST AI Risk Management Framework's own scale, with gaps ranked by severity and an auto-generated, board-ready slide deck and detailed report — every score traceable to the evidence behind it.
How does the NIST AI Risk Management Framework assessment work?
Clients upload their own evidence — policies, reports and data. An AI interviewer asks targeted follow-ups to fill anything missing, the platform scores against the framework, ranks the gaps, and generates the deliverables.
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See a NIST AI Risk Management Framework assessment on real data.
We'll run NIST AI Risk Management Framework live and score it from a client's own documents.