IIQ: A New Framework for Measuring Organizational AI Impact
A novel metric known as the Intelligence Impact Quotient (IIQ) has been introduced to assess how deeply AI is woven into organizational processes. Rather than relying on basic access numbers or token amounts, the IIQ integrates factors such as novelty-weighted, time-decayed token inventory, usage frequency, recency of grace-period, organizational leverage, task complexity, and autonomy. This results in a raw Intelligence Adoption Index (IAI) and a standardized IIQ index ranging from 0 to 1000 for diverse users and units. The framework features sub-daily updates and a bounded interpretation layer to estimate efficiency and financial effects. The paper emphasizes IIQ as a tool for monitoring AI integration in workflows, rather than a direct indicator of model performance or a replacement for productivity assessments. Synthetic scenarios exemplify this methodology.
Key facts
- IIQ stands for Intelligence Impact Quotient.
- It is a composite metric for measuring organizational AI integration.
- Components include novelty-weighted, time-decayed token stock, usage frequency, recency gate, leverage, task complexity, and autonomy.
- Produces a raw IAI and normalized 0-1000 IIQ index.
- Includes sub-daily update rules and interpretation layer for efficiency and financial impact.
- Positioned as a deployment-oriented measurement framework.
- Not a measure of model capability or substitute for causal productivity evaluation.
- Synthetic scenarios illustrate the approach.
Entities
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