Artificial intelligence introduces risks that traditional IT governance was never designed to catch, and the NIST AI Risk Management Framework (AI RMF 1.0) is the leading voluntary guide for handling them. Organized around four functions, Govern, Map, Measure, and Manage, it helps teams build AI systems that are more trustworthy: valid and reliable, safe, secure, accountable, transparent, explainable, privacy-enhanced, and fair. This toolkit is aimed at AI governance leads, product and data-science teams, and compliance officers who need to show that AI is being deployed responsibly rather than hoping for the best.
Included documents
- An AI governance policy and charter reflecting the Govern function’s roles, culture, and accountability structures
- AI system inventory and use-case mapping templates for the Map function
- AI risk assessment and impact-analysis forms covering intended purpose, context, and affected stakeholders
- Measurement templates for evaluating model performance, bias, robustness, and explainability
- Risk treatment, monitoring, and incident-response procedures under the Manage function
- A trustworthiness-characteristics checklist and third-party/vendor AI evaluation register
- Data governance, human-oversight, and transparency-documentation records
- A complete set of editable templates spanning all four AI RMF functions
The advantages
Because each document is organized around the AI RMF’s functions and the seven characteristics of trustworthy AI, your evidence lines up with the framework as regulators, boards, and enterprise customers increasingly ask how you manage AI. Every file is unlocked Word and Excel, ready for you to tailor to specific models and use cases. You establish a defensible AI governance program without months of internal research and without paying premium rates for external AI-risk advisory.
Download the toolkit and start documenting your AI systems with the structure and rigor responsible deployment now demands.
