Understanding the AI Trust Index™
The AI Trust Index™ is the Clariantix scoring framework for measuring enterprise AI maturity across ten domains. It is designed for board comprehension and operational use.
What the Index Measures
Ten domains of enterprise AI trust: governance, security, privacy, compliance, data stewardship, vendor risk, monitoring, accountability, responsible AI, and operational readiness. Each domain produces a maturity rating that rolls up into the overall AI Trust Score™.
How Scores Are Produced
Scores combine structured questionnaire responses, evidence review, and interviews with accountable owners. The methodology is the same across organizations to make scores comparable across the benchmark population.
How Leaders Use the Index
Boards use it for oversight. Executives use it for prioritization. Programs use it to baseline maturity, set improvement targets, and track progress on a recurring cadence. External use cases include procurement evidence and regulatory engagement.
- Board oversight: a single, comparable maturity view
- Executive prioritization: where to invest next
- Program management: baseline and recurring re-measure
- External evidence: procurement and regulatory engagement
Limits of the Score
No single score replaces qualitative judgment. The Index is most useful when read alongside the Executive Briefing™, the Risk Register™, and the Remediation Roadmap™ that accompany it.
"A useful maturity score is comparable, defensible, and actionable. The AI Trust Index™ is designed to be all three."
- Ten domains, one comparable score.
- Methodology is consistent across organizations.
- Boards, executives, and programs all use the Index differently.
- Quantitative score plus qualitative narrative beats either alone.