20+ years closing enterprise deals across the GCC — and the hands-on ability to build the AI systems that now run those operations.
20+ years · Heavy Equipment & Real Estate · n8n · RAG · Voice AI · GCC Market Entry
Breaking into the GCC enterprise market doesn't just require access—it requires deep operational credibility, relationships, and flawless execution.
Over the last 15+ years, I have acted as a dedicated "hunter," building B2B pipelines and closing high-value deals across the UAE, Qatar, and Egypt. Operating within heavy machinery, commercial real estate, and industrial manufacturing, I've directly driven AED 1B+ in enterprise revenue and managed complex cross-border partnerships.
But as a builder at heart, I noticed a recurring bottleneck: the most effective sales and operations teams were constantly slowed down by manual lead research, document processing, and CRM maintenance. I didn't just want to manage that problem—I wanted to engineer the solution.
Today, I bridge the gap between commercial strategy and technical execution. I design and deploy production-grade AI environments and low-code infrastructures that eliminate manual work. My current technical stack includes 54+ live production workflows, integrating n8n, pgvector RAG systems, and Voice AI agents that automate complex business processes from end to end.
Systems running in production. Client names withheld under NDA — references available on request.
Inbound leads arrived as raw form submissions with no triage. A Fortune-500 engineer with no budget and a founder ready to buy landed in the same undifferentiated pile.
A pipeline that enriches every inbound lead, scores it against the client's ideal-customer profile, routes it by tier to the right channel with a follow-up task, and writes an auditable record — unattended.
A manual triage step removed entirely. Sub-minute lead-to-notification. Zero duplicate alerts by construction, and any failure reaches a human with a link to the exact failed run.
GCC customers expect to be answered in Arabic. Most voice automation handles English well and Arabic badly, so calls fall back to human agents.
A conversational voice agent that handles both languages natively, holds context across a call, and hands off cleanly to a human when it should.
Calls handled end to end in Arabic without falling back to a human operator, with clean handoff when escalation is warranted.
Expertise lived in people and scattered documents. When staff left, it left with them — and answering routine internal questions consumed senior time.
A retrieval system over vetted company material, so answers are grounded in approved sources rather than a model's guesswork — and institutional knowledge stays with the business.
Over 10,000 document queries served, with answers traceable to their source.
Detailed technical write-ups available on request.
Tell me what you're trying to build or fix. I read every message myself and reply within 24 hours.
Prefer to talk? Book a 20-minute call