Phase 2 – Establish the AI Framework

Build a Robust AI Risk Management Framework That Aligns Governance, Ethics, and Trust

Key Outcomes:

• Appoint an AI RMF implementation lead or governance owner

• Develop a project and documentation roadmap aligned with NIST functions

• Define AI risk management policies, roles, and accountability structures

• Integrate AI governance and controls into existing enterprise frameworks

• Train teams and foster awareness across all AI lifecycle stakeholders

Summary:
This phase transforms strategy into a living framework. We operationalize your AI Risk Management Framework (AI RMF) — embedding NIST’s core functions (Govern, Map, Measure, Manage) into the way your organization builds, deploys, and oversees AI systems.

In Depth:
Building on Phase 1 findings, we develop your organization’s AI governance policies, risk assessment processes, and documentation practices aligned with NIST AI RMF categories and subcategories. We establish roles and responsibilities across business, technical, and compliance teams to ensure that AI risk management is continuous and transparent.

Your AI RMF integrates seamlessly with existing cybersecurity, privacy, and quality management systems, leveraging what’s already in place to minimize duplication. We also conduct targeted awareness and role-based training, empowering teams to recognize, assess, and mitigate AI risks — reinforcing a culture of trustworthiness and accountability.