Phase 3 – Conduct Internal Audits and Reviews

Test Your AI Risk Management Framework for Maturity, Performance, and Continuous Improvement

Key Outcomes:

• Conduct internal NIST AI RMF maturity and effectiveness assessments

• Facilitate leadership and cross-functional reviews

• Address gaps and implement corrective action plans

• Validate integration across the Govern, Map, Measure, and Manage functions

• Prepare for external benchmarking or independent assurance

Summary:
Before formal attestation or external review, your AI Risk Management Framework must demonstrate its effectiveness and maturity. Through structured assessments and leadership reviews, we ensure your framework aligns with the NIST AI RMF principles of trustworthy, accountable, and risk-informed AI operations.

In Depth:
We conduct an internal AI RMF assessment to evaluate implementation maturity, process consistency, and control effectiveness across all four NIST functions. Leadership participates in review sessions to ensure alignment between AI governance, organizational risk appetite, and business objectives.

Identified weaknesses are resolved through targeted corrective action plans, reinforcing a culture of continuous improvement. Where applicable, a pre-assurance assessment is conducted to simulate external evaluation conditions — ensuring your teams, documentation, and processes are fully ready for independent validation or third-party review.