Technical showcase of the SCALE FACTOR™ readiness framework — a system for evaluating an organization’s AI infrastructure maturity across seven critical dimensions.
SCALE FACTOR™ is a diagnostic methodology designed to help startups, SMEs, and portfolio companies understand how prepared their organizational infrastructure is for AI-driven scaling. It measures capability and risk across five core dimensions:
- S — Systems Coherence: Alignment, integration, and interoperability across tools and data
- C — Customer Experience Integrity: Ability to maintain service quality as automation increases
- A — AI Strategy Alignment: Prioritization of high-impact use cases, feasibility, and ROI
- L — Leadership Infrastructure: Decision workflows, governance, and operating models
- E — Enterprise Readiness: Operational, financial, and technical foundations for scale
Two extended dimensions also assess integration maturity and workflow adaptability.
The assessment produces a SCALE FACTOR™ score (1.0–3.0) through:
- User Type Selection → Portfolio Manager or Founder/Executive
- Seven Strategic Questions → Covering infrastructure, systems health, and AI readiness
- Real-Time Scoring → Quantitative output across all dimensions
- Zone Classification → Break Risk / Unstable Scale / Enterprise-Ready
- Risk Modeling → Potential cost of operational friction
- Action Recommendations → Immediate and longer-term priorities
| SCALE FACTOR™ | Zone | Risk Level | What It Indicates |
|---|---|---|---|
| 1.0–1.4 | 🚨 Break Risk | High | Infrastructure gaps will constrain growth |
| 1.5–2.4 | Moderate | Scaling possible with targeted optimization | |
| 2.5–3.0 | ✅ Enterprise-Ready | Low | Strong foundation for accelerated AI adoption |
- Sample Questions:
sample-questions.json - Scoring Logic:
scoring-logic.md - Architecture Diagram:
demo-logic-diagram.png
This repository provides a clean, minimal technical demonstration of the scoring logic and assessment flow.
- Venture Capital — Assess infrastructure maturity across portfolio companies
- Founders — Identify bottlenecks before rapid scaling
- Consultants & Operators — Baseline technical and operational readiness
- Accelerators — Evaluate applicant preparedness for AI-driven growth
Created by Ariana Abramson • LinkedIn
Part of Nadis Intelligence’s work on practical AI infrastructure systems for scaling organizations.
This repository is provided for educational and non-commercial use.
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