Claude Code SkillsAI Workflow Author
Reusable Claude Code skills, published to the ecosystem — design, marketing, and engineering workflows.
// Service
AI implementation across the Middle East & Africa (MEA)
Tarek Abou Rjeily builds and ships AI systems for businesses across the Middle East and Africa (MEA) — turning an AI idea or strategy into a working, deployed product. From AI-powered CRMs and marketing automation to real-time computer vision, he handles implementation end-to-end with the Anthropic Claude API, Python, and modern web stacks, deployed on Cloudflare's edge for fast access across the region.
Proof — related shipped work
SmartCRMMulti-tenant SaaS
White-label CRM for Lebanese small business. WhatsApp screenshots → structured contacts via Claude Vision, bilingual, AI-tagged broadcasts.
Read case study →Invisible CRMWhatsApp-native AI
A CRM that lives inside WhatsApp. Voice notes become records; plain-English queries find clients; new listings auto-match old buyers.
Read case study →AI Cheating DetectorComputer Vision
Real-time exam integrity for Arab Open University. YOLOv8 + face recognition flag phones, head-turns, unknown faces; alerts hit Telegram instantly.
Read case study →Althea AI MarketingClient — Health & Wellness
AI marketing on autopilot for a Lebanese clinic. Claude-generated creative, n8n-orchestrated WhatsApp + email lifecycle, predictive segments.
Read case study →Frequently asked questions
What does AI implementation involve?
AI implementation is the build-and-ship phase: turning a use case into a working system that's integrated into your real products and workflows and deployed to production — not a proof-of-concept that dies in a notebook. Tarek Abou Rjeily handles it end-to-end, from data and model integration to the user-facing app and deployment.
Can you implement AI into our existing software?
Yes. Tarek adds AI capabilities — natural-language search, document and image understanding, automated workflows — into existing products through APIs such as the Anthropic Claude API and the WhatsApp Business API, starting with a short audit to scope the integration.
How quickly can an AI system go live in the MEA region?
It's scope-led, but a focused pilot typically reaches a deployable system in about 4–6 weeks, then iterates. Systems are edge-deployed on Cloudflare so they're fast for users across the Middle East and Africa.
Start a project
Message me on WhatsApp, email tarekabourjeily@outlook.com, or see all services.