The building blocks of an enterprise adoption framework for agentic coding — technical training, adoption playbooks, governance policies, industry analysis, proposal templates, and practical workflows. From understanding how AI agents work to rolling them out across teams. Built for leaders driving adoption.

GitHub Copilot Insights helps organizations understand and optimize their AI-assisted development adoption. Upload your GitHub Copilot usage metrics and instantly visualize comprehensive analytics including user adoption patterns, code acceptance rates, AI model performance, and programming language distributions.

Practitioner toolkit — templates, worked examples, and step-by-step guides for adopting LC-OS in your AI workflows.

An AI-powered tool that analyzes workflows, identifies inefficiencies, and suggests automation opportunities using Large Language Models.

Data-driven strategy for GenAI integration. Analysis of 100k companies reveals that strategic alignment, not budget size. drives successful AI adoption. Features ML clustering, XGBoost classification, and BERT sentiment analysis

eduai-friction is a package promoting informed discussions around AI in education by analyzing "Four Frictions" and providing actionable steps.

Industry-level AI adoption metrics across European economies (2016–2024), derived from LLM-based analysis of firm websites. Covers Belgium, France, Germany, and Luxembourg in NACE Rev. 2 and NAICS 2022 classifications.

AI Readiness Scale (AIRS): Validated 12-item instrument. 7-phase psychometric validation (N=362): EFA→CFA→Invariance→SEM→Mediation→Moderation→Behavioral. Autonomy-centered UTAUT2 extension (R²=.819). Reproducible Jupyter analysis, intervention protocols, practitioner guidelines.

The PAST Framework — Strategic AI adoption methodology. Purpose, Audience, Scope, Tone.

台灣 AI 使用指數 (TAUI) - 開源資料分析框架，測量分析台灣各地區 AI 技術採用率 | Taiwan AI Usage Index - Open-source framework for measuring regional AI adoption

Technical showcase of the SCALE FACTOR™ Assessment methodology - a proprietary scoring framework for measuring AI infrastructure readiness across 7 critical dimensions. Includes scoring logic, sample architecture, and risk calculation algorithms.

AI governance frameworks and tools for enterprise AI transformation — built by a Certified Chief AI Officer (CAIO) for practical, production-ready adoption.

This repository contains the full reproducibility package for the paper: “When Firms Fail to Adopt: Network-Mediated Survival under AI and General-Purpose Technologies” (Diego Vallarino, 2025).

NLP-powered semantic analysis system for quantifying AI adoption in Fortune 500 annual reports (2020–2025). This branch provides the academic English implementation.

Danielle Vantini — documented AI adoption history dating to 2018. Non-technical founder, AI leader, entrepreneur.

A composite index tracking what percentage of consequential decisions are delegated to AI — measured across 9 domains. Live at curve.thinkwright.ai

Interactive case study on AI commercial operations, adoption governance, and product workflow design for regulated enterprise AI.

Independent research on enterprise AI adoption — agentic accountability, hallucination budgets, governance gaps. 10+ papers, weekly RSS.

Chirag Patel (CP) - Head of Europe - AI & Digital Transformation at Hidden Brains

A non-technical founder's daily account of building an AI operations system from scratch using Claude Code