Understand Where You Stand on AI Governance

Most organizations are deploying AI faster than they are governing it. The gap between adoption speed and governance maturity is where risk accumulates, trust erodes, and regulatory exposure grows.

This guide introduces RAI Institute’s Responsible AI Maturity Model, a research-backed framework used across industries to help organizations understand where they are, where the gaps are, and what the next practical step looks like.

Inside, you will learn:

• What the five stages of AI governance maturity look like in practice
• How to identify where your organization stands today, across all functions
• Why maturity does not depend on organization size, age, or resources
• What the minimum target state for defensible governance requires
• How to use the model as a leadership diagnostic, not just a compliance exercise

The guide also outlines concrete first steps for organizations at any stage of the journey, from formalizing informal practices to building the internal accountability structures that make AI governance durable.