AI Automation Builder, based in Dubai
I build AI workflow systems that qualify leads, automate WhatsApp follow-ups, and cut manual work for business teams — using Make.com, n8n, the Claude API, and Airtable. My current build: a multilingual lead-qualification system for Dubai real estate.
- Based in Dubai
- Own visa
- Available immediately
- AI workflow systems
AI Lead Processing Flow
Watch it qualify a lead in real time.
A simulated WhatsApp workflow showing how a real estate lead moves from message intake to AI classification, Airtable logging, and broker follow-up.
Marina Realty
online
Hi, looking for 2BR in Marina, budget 1.5M cash
10:24
Great — Marina, 2BR, AED 1.5M cash. Are you ready to view?
10:24
Yes, this weekend if possible
10:25
Perfect — one of our brokers will message you shortly.
10:25
Ahmed K
+971 5x xxxx · online
Hi, looking for 2BR in Marina, budget 1.5M cash
10:24
Great — Marina, 2BR, AED 1.5M cash. Are you ready to view?
10:24
Yes, this weekend if possible
10:25
Perfect — one of our brokers will message you shortly.
10:25
Monday
10:25
Make.com · Broker alert
Hot lead — Ahmed K
Marina · 2BR · cash buyer · weekend viewing
now
Airtable · live mirror
Leads · MVP backend
- Lead
- Ahmed K
- Budget
- AED 1.5M
- Area
- Marina
- Intent
- Buy
- Score
- 87
- Tier
- Hot
Featured Case Study
Dubai Real Estate AI Lead Qualification MVP
A WhatsApp-based AI workflow that helps Dubai real estate brokers filter inbound leads into HOT / WARM / COLD tiers so brokers spend less time on low-intent conversations.
The Problem
Dubai brokers receive large numbers of inbound leads from Property Finder, Bayut, Meta Ads, website forms, and WhatsApp. Many inquiries are low intent, repetitive, or unclear.
Brokers often spend time manually filtering conversations while serious buyers may wait too long for a response.
Why I Built This
While researching Dubai real estate workflows, I noticed many brokers manage WhatsApp inquiries manually. I wanted to test whether a lightweight AI workflow could help filter low-quality leads faster without building a custom backend.
The Solution
I built a WhatsApp-native AI workflow that receives inquiries, classifies lead quality using Claude API, stores structured lead data in Airtable, and alerts the broker only for HOT leads.
Workflow
Lead Qualification Logic
Clear budget, strong buying intent, defined timeline, and specific property interest.
Real interest exists but some qualification details are still missing.
Low buying intent, exploratory behavior, or unclear qualification signals.
Tech Stack
Business Value
- Faster response to serious buyers
- Less manual lead filtering
- Organized lead tracking
- Automated WhatsApp handling
Current Status
Working MVP. End-to-end workflow tested. No paid client deployment yet. Built solo in Dubai.
Current Limitations
- No live production metrics yet
- No multi-broker routing support
- No direct Bayut or Property Finder integration
- Workflow is MVP-stage, not enterprise-scale
FULL SYSTEM ARCHITECTURE
Dubai Real Estate AI Lead Qualification Workflow
A WhatsApp-native automation system designed to filter inbound real estate leads, classify buyer intent using AI, and notify brokers only when leads are qualified.
LIVE WORKFLOW STRUCTURE
AI Lead Qualification Pipeline
INPUT CHANNELS
- • Meta Ads lead traffic
- • Website form inquiries
- • WhatsApp conversations
AI OPERATIONS
- • AI lead classification
- • Structured CRM sync
- • Hot lead detection logic
BUSINESS IMPACT
- • Faster broker response time
- • Less manual filtering
- • Better lead organization
TECHNICAL HIGHLIGHTS
Core AI workflow capabilities
The system focuses on structured automation, lead qualification, WhatsApp communication, and broker routing logic.
AI OUTPUT
Structured JSON classification
Claude API returns structured lead data including buyer intent, budget signals, urgency, and qualification status.
LEAD LOGIC
HOT / WARM / COLD scoring
Leads are automatically classified into tiers so brokers focus on serious buyers instead of low-intent conversations.
WHATSAPP FLOW
Automated WhatsApp replies
WATI handles intake and automated responses while Make.com routes workflow logic between systems.
CRM LAYER
Airtable CRM synchronization
Qualified leads are stored in Airtable with structured records for tracking, filtering, and broker follow-up.
ABOUT
Self-taught AI workflow builder based in Dubai
I build AI-powered workflow systems focused on lead qualification, WhatsApp automation, and operational routing.
My current focus is building practical AI systems for Dubai real estate workflows using Make.com, n8n, WATI, Claude API, and Airtable.
Instead of learning only from tutorials, I prefer building working systems that solve operational problems and improve workflow speed.
Right now I am focused on improving my automation engineering, AI workflow design, and real-world system thinking.
AH SHAKON
AI Automation Builder based in Dubai.
CORE TOOLS
CURRENT FOCUS
- • AI workflow systems
- • Real estate lead operations
- • WhatsApp automation flows
- • Structured AI routing logic
STATUS
Based in Dubai. Open to AI automation roles, workflow operations, and junior AI systems opportunities.
CONTACT
Open to AI automation roles in Dubai
I am based in Dubai and open to AI automation, workflow operations, and junior AI systems opportunities.
ahshakon@gmail.com
Best way to contact me for roles, interviews, or project discussion.
Connect on LinkedIn
View my profile, work direction, and AI automation positioning.
Message on WhatsApp
Useful for quick communication in the UAE market.
AVAILABILITY
Based in Dubai. Open to AI automation roles, workflow automation roles, and practical AI systems opportunities.