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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).

API Access

GMI is included in every ratings API response alongside AGR:
See the API Reference for details.