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AI implementation across the Middle East & Africa (MEA)
Tarek Abou Rjeily takes a scoped AI use case — often the output of an AI-strategy audit — and delivers it to production for organizations across the Middle East and Africa (MEA). Where hiring an AI developer starts from a blank page, implementation starts from a defined plan: he integrates the system into your existing tools and workflows, ships it with the Anthropic Claude API, Python, and modern web stacks on Cloudflare's edge, and hands it over running — with documentation and a care plan, not a proof-of-concept.
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, and unknown faces; alerts include the flagged frame in Telegram.
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.
How is AI implementation different from hiring an AI developer?
Hiring an AI developer is open-ended: you bring problems, the developer explores and builds. AI implementation is a delivery engagement: the use case is already scoped — often from a strategy audit — and Tarek Abou Rjeily's job is to integrate it into your existing systems, take it to production, and hand it over documented and maintained. Organizations that already know what they want to automate usually need implementation, not another discovery phase.
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.
Related services & other markets
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Message me on WhatsApp, email tarekabourjeily@outlook.com, or see all services.