Your Guide to AI-Driven Business Transformation
Governance structures, decision frameworks, and templates used to guide enterprise programs and portfolio oversight.
APQC Process Classification Framework — Master Integration Map. Interactive visual document covering all 13 categories, 80+ process groups, 46 integration flows, KPIs, AI automation map, maturity model, and Figma diagram patterns.
A shared glossary defining the core terms, concepts, and structures used across the Strategy-to-Execution enterprise transformation framework.
Executive frameworks for translating organizational strategy into aligned operating models, governance, and delivery systems.
AI-powered IT incident triage built with n8n, the Claude API, and a live dashboard
An AI-powered Circular Economy Operating System: ESG control tower for enterprise end-of-life device recovery, with a streaming Claude Copilot.
AI-powered professional services marketplace for UK small businesses — built by Dynamics Tech. The DYN Platform connects vetted consultants, automates business transformation programs, and provides a unified operating system for SMB growth through AI orchestration, training, and community.
AI TRANSFORMING ERP SYSTEMS
Enterprise fraud detection using process intelligence, analytics, and risk stratification
AI-powered multi-project PMO command center — Next.js, TypeScript, Tailwind. Live demo via GitHub Pages.
AI-powered Accounts Payable automation: validates invoices, detects fraud signals, and uses an agentic AI advisor to investigate exceptions — built with n8n and the Claude API
Customer support intelligence workspace for AI triage, SOP matching, workflow automation, and support operations insights
Professional portfolio for Danny Ng — strategy, operations, transformation, and AI-enabled execution.
Portfolio profesional de Juan Pablo Sánchez: transformación, talento, People Analytics, procesos e IA aplicada a la gestión.
Official bibliographic record & reader companion for 'Applied AI for Future Ready Organizations' by Dr. Jonah Tebaa (ISBN 9798279366965).
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