Overview
The Governance Materiality Index (GMI) answers a different question than AGR. While AGR measures governance quality, GMI measures governance relevance: how much does AI governance matter to this specific company? A regional bank deploying a single chatbot has low AI governance materiality. A frontier model developer or a healthcare company deploying clinical AI has high materiality. GMI quantifies this difference.Score Range
Inputs
GMI is calculated from:- AI deployment intensity: Number and criticality of AI systems in production
- Sector AI materiality: Industry-level AI adoption and risk patterns
- Revenue dependency: Percentage of revenue tied to AI-enabled products or services
- Regulatory exposure: Jurisdictional requirements (EU AI Act high-risk classification, etc.)
- Workforce AI impact: Degree of workforce transformation driven by AI
- Public scrutiny: Media and stakeholder attention to the company’s AI activities
How GMI Relates to AGR
GMI contextualizes AGR. A company with:- High GMI + Low AGR = Critical governance gap. Immediate risk.
- High GMI + High AGR = Well-governed in a high-stakes environment.
- Low GMI + Low AGR = Low priority. Monitor for materiality changes.
- Low GMI + High AGR = Over-invested in governance relative to exposure (rare but possible).

