The AIQ Score™ A New Standard for AI Quality
250 proprietary data points across five dimensions of AI governance maturity — producing the first comparable, quantitative AI quality rating for enterprise organizations.
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Hover over a framework to see its impact on our scoring methodology
Methodology
What We Measure
The AIQ Score™ quantifies the maturity and integrity of an organization’s AI systems across five dimensions, using 250 proprietary data points — 50 per dimension — drawn from disclosed data, proprietary surveys, and AI-assisted verification.
Strategic Alignment
20%Executive commitment and business integration
Indicators include CAIO presence, AI investment levels, and strategy disclosure.
Governance & Accountability
30%Governance structures, board oversight, and policy maturity
Indicators include board reporting cadence, audit frequency, and policy documentation.
Technical Robustness
25%Technical controls, model quality, and operational integrity
Indicators include model validation, security testing, bias audits, and MLOps practices.
Responsible AI & Compliance
15%Fairness, transparency, and regulatory compliance
Indicators include bias mitigation, explainability, and regulatory alignment.
Adaptability & Education
10%Continuous improvement and innovation capacity
Indicators include incident learning, retraining frequency, and feedback loop maturity.
Weighted Methodology
Each dimension is weighted to reflect its relative impact on overall AI governance quality. Governance & Accountability carries the highest weight at 30% because governance failures are the leading driver of AI-related loss events and regulatory enforcement. Technical Robustness follows at 25%, reflecting the operational risk of poorly built systems. Strategic Alignment (20%), Responsible AI & Compliance (15%), and Adaptability & Education (10%) complete the model. Weights are informed by risk exposure analysis, regulatory emphasis, and actuarial data — and are reviewed annually.
The 0–200 Scale
The AIQ Score™ uses a 0–200 scale modeled on two proven precedents: the standard IQ scale used in psychometric assessment, where 100 represents the population mean, and the Ocean Tomo Patent Ratings® scale used to rate patent quality for the NYSE-listed OT300® Index. The 200-point range provides the granularity to differentiate governance maturity.
Nascent
0–40
Minimal formal AI governance; ad hoc practices
Considering
40–70
Beginning to explore AI governance frameworks
Developing
70–100
Foundational governance in place; significant gaps remain
Established
100–130
Mature governance with documented practices and oversight
Advanced
130–160
Advanced governance exceeding baseline requirements
Leading
160–200
Exemplary governance; industry-leading practices across all dimensions
Organizations achieving verified AIQ Scores of 115 or above — within the Established band — qualify for AIQA Certification.
Framework Alignment
Validation & Data Integrity
AIQ Scores undergo cross-validation, inter-rater reliability testing, and statistical correlation analysis to ensure consistency and defensibility. AIQA’s methodology supports privacy-preserving assessment architecture, allowing organizations to participate in governance evaluation without exposing proprietary model details, architectures, or training data to external evaluators.