Applied AI, documented.
Case studies, research briefings, and strategy perspectives on AI in business, education, and technology — from the Office of AI Transformation.
Software Development
RAG vs. Fine-Tuning: Which Is Right for Your Enterprise AI Use Case in 2026?
A decision matrix for choosing between retrieval-augmented generation (RAG) and fine-tuning for enterprise LLM applications. When to pick each, when to combine them.
AI Consultation
The AI ROI Framework: Measuring Cost-Avoided, Revenue-Unlocked, and Risk-Reduced
Why AI ROI is bimodal — successful projects return 188%, failed ones zero — and a three-vector framework for measuring and reporting it to a board.
AI Academy
Prompt Engineering for Teams: Why a Shared Prompt Library Is the New Competitive Advantage
The highest-leverage AI investment most enterprises miss: a governed, versioned, evaluated shared prompt library. What to put in it, how to structure it, and why it becomes durable IP.
University Management System
Choosing an AI-Native University Management System: A Decision Framework for Middle Eastern Institutions
Legacy university ERPs cost $200K+ annually and were designed before AI. A practical selection framework for institutions evaluating AI-native University Management Systems in 2026.
Research & Development
The 3-Tier AI Safety System: How We Govern LLM Deployment at Global University
A three-layer governance framework for deploying LLMs responsibly in enterprise and academic settings. Covers data classification, model-level safeguards, and organizational policy.
AI Academy
AI for Educators: A 4-Module Workshop Playbook for Universities and K-12 Schools
Most “AI for teachers” workshops cover tools. The useful ones cover practice. A 4-module playbook we run for universities and K-12 schools across Lebanon and the GCC.
Software Development
GPT, Claude, Gemini, or Open-Weight? A Model Selection Guide for Enterprise Teams in 2026
The frontier-model landscape shifts every quarter. A practical decision framework for choosing between GPT, Claude, Gemini, and open-weight alternatives for different enterprise workloads.