The AIQ™ Score A New Standard for AI Quality
A 1-week point-in-time AIQ™ Score for advanced AI governance adopters seeking independent third-party validation — built on 250 proprietary data points across five dimensions of AI governance maturity.
1-Week Engagement
Independent Third-Party Validation, in as Little as One Week
The AIQ™ Score is designed for advanced AI governance adopters with strong existing system documentation and an experienced AI management function. Where documentation and governance are already in place, AIQA can deliver a verified score in as little as one week — ideal for capital partners, board reviews, insurer conversations, or other moments when an independent signal is needed quickly.
Kickoff & Documentation Review
Rapid intake of existing AI governance documentation, system inventories, and policy artifacts. Designed for organizations with strong existing documentation and an experienced AI management function.
Validation & Scoring
AIQA analysts cross-verify documented controls against the AIQ™ dimensions using metadata analysis, audit trails, and AI-assisted verification — producing a verified score across all five dimensions.
Score Delivery
Delivery of a point-in-time AIQ™ Score on the 0–200 scale, dimension-level breakdown, and a third-party validation letter suitable for stakeholder, board, or capital partner review.
What You Receive
- Point-in-time AIQ™ Score on the 0–200 scale across all five governance dimensions
- Dimension-level breakdown with peer benchmarking context
- Third-party validation letter for use with boards, investors, insurers, and regulators
Organizations seeking factor-level analysis of shortcomings, opportunities, and growth areas should consider the AIQ™ Audit (8–12 weeks). Organizations seeking governance improvement and AIQA Certification should consider the full AIQ™ Assessment (12 months).
Initializing...
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 completing the full 12-month AIQ™ Assessment and achieving verified AIQ™ Scores of 115 or above — within the Established band — earn AIQA Certification, the outcome credential of the AIQ™ Assessment program.
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.