Enterprise AI Maturity Standard an open, evidence-driven framework for assessing and advancing organizational AI maturity.
-
Updated
Sep 12, 2026 - Python
Enterprise AI Maturity Standard an open, evidence-driven framework for assessing and advancing organizational AI maturity.
Личный навигатор ИИ-зрелости рабочих процессов руководителя: оцените свой уровень, получите индивидуальный план роста и подключайте нужные возможности Claude шаг за шагом.
AI Navigator is a comprehensive web application designed to help organizations assess their AI maturity levels and generate customized roadmaps for AI implementation. Using a framework based on Gartner's AI maturity model, it provides actionable insights and implementation plans to advance your organization's AI capabilities.
An evidence-backed leaderboard for repositories measured with harness-score.
AI Acceleration Quotient: a methodology for scoring organizations on AI maturity. Agent skill by OODA LLC.
AIMF (AI Maturity Framework) by Marco Di Santo: a 9-level, 7-dimension framework for taking enterprise AI from pilots to production. With an AI implementation roadmap template and a self-assessment checklist.
A tested, production-validated procedure that takes a software project to Stage 3 (Compounding) AI maturity: business-to-solution traceability, seeded architecture decisions, cloud (Azure·AWS·GCP) and Terraform standards, DevSecOps, an enforceable AI delivery factory, and the evidence to prove every claim.
To associate your repository with the ai-maturity topic, visit your repo's landing page and select "manage topics."