NIST AI Risk Management Framework Implementation

Module 1: AI RMF concepts and profiles

Establish the vocabulary, boundaries, stakeholders, and decision context for AI RMF concepts and profiles. Use evidence review, responsibility mapping, and implementation workshops to test assumptions against the client context.

Separate established requirements and reliable evidence from untested assumptions about AI RMF concepts and profiles. Record the decision, supporting evidence, and unresolved questions in the governance diagnostic.

Map AI RMF concepts and profiles to the organization’s current responsibilities, dependencies, and constraints. State what would trigger rejection, escalation, or redesign of the proposed approach.

Module 2: Govern and Map functions

Diagnose the current state of Govern and Map functions using a structured evidence review. Use evidence review, responsibility mapping, and implementation workshops to test assumptions against the client context.

Compare alternative methods and select an approach suited to risk, maturity, and scale. Record the decision, supporting evidence, and unresolved questions in the evidence review.

Document requirements, owners, decision criteria, and exceptions for Govern and Map functions. State what would trigger rejection, escalation, or redesign of the proposed approach.

Module 3: Measure and Manage functions

Design the workflow, safeguards, and handoffs required for Measure and Manage functions. Use evidence review, responsibility mapping, and implementation workshops to test assumptions against the client context.

Test normal, failure, and edge-case scenarios before operational adoption. Record the decision, supporting evidence, and unresolved questions in the implementation roadmap.

Review the design for security, quality, accessibility, sustainability, or assurance implications as relevant. State what would trigger rejection, escalation, or redesign of the proposed approach.

Module 4: evidence roles and integration

Define meaningful measures, evidence, review cadence, and escalation thresholds for evidence roles and integration. Use evidence review, responsibility mapping, and implementation workshops to test assumptions against the client context.

Investigate performance gaps and separate root causes from symptoms. Record the decision, supporting evidence, and unresolved questions in the governance diagnostic.

Plan corrective action, controlled change, and accountable follow-through. State what would trigger rejection, escalation, or redesign of the proposed approach.

Module 5: Applied NIST AI Risk Management Framework Implementation Workshop

Complete a evidence review that integrates the course decisions around profile development workshop. Use evidence review, responsibility mapping, and implementation workshops to test assumptions against the client context.

Defend recommendations against a realistic stakeholder challenge or scenario. Record the decision, supporting evidence, and unresolved questions in the evidence review.

Produce a prioritized workplace action plan with owners, dependencies, and review points. State what would trigger rejection, escalation, or redesign of the proposed approach.