AIRMM Assessment

What is the AI Resilience Maturity Model (AI-RMM)?

Framework version: — Generated: —

The AI-RMM is a practical framework for governing AI risk across the full lifecycle. It organizes controls into four functions—GOVERN, MAP, MEASURE, MANAGE—and five maturity levels from Initial to Optimizing. Each function is broken into categories, sub-categories, and specific controls that guide organizations from basic, ad-hoc practices to evidence-based, continuously improving ones.

Structure

Maturity Levels (L1–L5)

1. Initial — basic, reactive practices.
2. Managed — defined activities and recurring routines.
3. Defined — standardized, documented processes.
4. Quantitatively Managed — metrics-driven monitoring and adaptation.
5. Optimizing — continuous improvement embedded in culture.

How to use this assessment

1. Select a function from the left sidebar. Each sub-category lists controls under Levels 1–5.
2. For each control, choose Yes / Partial / No / N/A. Items start as PENDING and flip to ANSWERED once you select an option.
3. Use the Dashboard to view distribution, domain scores, and a heatmap. Click a bar/cell to drill down; double-click to jump into the relevant questions.
4. Click Save JSON to export your responses at any time.