Documentation

The AI Maturity Assessment Platform is a self-service tool to measure and accelerate AI adoption across three pillars.

Getting started

1. Run the initial platform setup to create your organization and admin account.
2. Invite respondents from the dashboard.
3. Respondents answer questions across the 3 pillars (Developer Productivity, DevOps Lifecycle, Application Platform).
4. Once all required responses are collected, trigger scoring to produce maturity scores and a strategic roadmap.

Maturity levels (L0–L4)

• L0 — Traditional: No AI tooling in place.
• L1 — Foundational: Early experimentation.
• L2 — AI-Enhanced: AI embedded in core workflows.
• L3 — AI-Native: Autonomous agents routinely deliver.
• L4 — AI-First: AI is the default work model.

Scoring methodology

Scores use a weighted SUMPRODUCT: each capability's score is the weighted average of its questions; each pillar is the weighted average of its capabilities; the overall score is the weighted average of pillars. Questions marked “Practice Evidence” require evidence uploads to count.

Support

For issues, see the project repository README or open a ticket with your platform administrator.

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