Overview
AI systems are becoming foundational to organizational performance.
As this transition accelerates, the ability to rigorously assess AI readiness becomes critical for leaders, operators, and investors. Skyhaven developed the AIM / RAISE framework to provide a formal, evidence-based model for evaluating AI maturity.
- RAISE (Readiness Assessment for Intelligent Systems Excellence): The structured diagnostic model that evaluates an organization's capability and the foundational conditions required to scale AI.
- AIM (AI Maturity Index): The quantitative score derived from this analysis, enabling consistent, evidence-based benchmarking across peer organizations.
The framework is currently applied within the Food and Agriculture domain as our initial reference environment. We designed it to generalize across new industries as datasets expand and we establish more sector-specific baselines.
Purpose
AI capability is not an endpoint but a measurable gradient.
The AIM / RAISE framework is designed to:
- Establish an objective baseline of current AI readiness.
- Identify structural constraints that limit value realization.
- Inform strategic investment and capital allocation.
- Track capability development over time with repeatable measurement.
Our intent is to provide a shared reference model for a more empirical and comparable understanding of AI capability across the economy.
Dimensions of Evaluation
The RAISE diagnostic evaluates maturity across four core dimensions:
Organizational Structure
How organizational design supports or constrains sustained AI system operation.
Strategic Investment
The allocation of capital relative to expected AI value formation.
Resource Deployment
Alignment of talent, compute infrastructure, and data assets across the AI lifecycle.
Time to Value
The measured latency between concept generation and production deployment.
Interpretation and Use
The AIM / RAISE framework serves as a common language and reference model for AI maturity. It provides a consistent basis for comparison, reduces ambiguity in evaluating readiness, and delivers structured signals to prioritize improvement.
The goal is not to classify organizations competitively.
The goal is to understand how AI capability is formed, how it varies across context, and how it increases over time in a deliberate and traceable manner.
