Sobha Properties · Paid Ads + Lead Automation
AED 1.4 million in property sales from $5,000 of Facebook ad spend, with an n8n lead flow that worked every enquiry the moment it landed.
AED 1.4M
sales from $5,000 ad spend
AI Consulting · Implementation · Training
Most businesses are talking about AI.Yours will be running on it.
I build the AI systems that save your team hours every week and the training that makes sure they actually use them. No jargon, no six-month roadmaps. Just AI that pays for itself.
n8n
Make
Claude
Meta
Google Sheets
Facebook Ads
Zapier
Airtable
HubSpot
WhatsAppn8nMakeClaudeMetaGoogle SheetsFacebook AdsZapierAirtableHubSpotWhatsAppAED 1.4M in property sales from $5,000 of ad spend for Sobha Properties. /
Built a voice agent that answers, qualifies, and books 24/7. /
Automated scheduling for Prime Sports: hours back every week. /
Shipped a client-facing chatbot for Autosplash in under 4 weeks. /
Zero leads left waiting on someone who's in a meeting. /
Systems handed over documented, with no dependency on me. /
AED 1.4M in property sales from $5,000 of ad spend for Sobha Properties. /
Built a voice agent that answers, qualifies, and books 24/7. /
Automated scheduling for Prime Sports: hours back every week. /
Shipped a client-facing chatbot for Autosplash in under 4 weeks. /
Zero leads left waiting on someone who's in a meeting. /
Systems handed over documented, with no dependency on me. /
Why AI, why now
Your competitors aren't slower than you. They're just automated.
Time back
The repetitive work your team dreads gets handled before anyone opens a tab.
Cost down
One system absorbs the admin load you were about to hire for.
Response speed up
Leads and clients get answered in seconds, not the next business day.
Nothing falls through
Follow-ups, bookings and handoffs happen every time, not when someone remembers.
Scales without hiring
Double the volume without doubling the headcount behind it.
What I do
Three ways I put AI to work in your business.
Most engagements start with consulting and move straight into implementation. Training is what keeps the system earning after handoff.
The growth layer
Once the systems are running, we make sure the market hears about it.
Performance
Facebook and Meta ads that feed the systems you just installed. $5,000 of spend turned into AED 1.4M in sales for Sobha Properties.
Content
Consistent output that earns attention without a studio.
Branding
A look and voice that matches how good the operation now is.
360 Marketing is the follow-on, not the headline act.
Case studies
Proof, not promises.
Scroll or swipe →
Ad spend that turns into signed deals, not impressions
Voice agents that answer on the first ring
Leads followed up in seconds, not days
Scheduling that runs itself
Quotes out before the competition replies
Onboarding handled without a single reminder
Reporting that lands in your inbox already done
Ad spend that turns into signed deals, not impressions
Voice agents that answer on the first ring
Leads followed up in seconds, not days
Scheduling that runs itself
Quotes out before the competition replies
Onboarding handled without a single reminder
Reporting that lands in your inbox already done
Process
How an engagement actually works.
01
Diagnose
We find where time, margin and leads actually leak before anyone talks about tools.
02
Design
You get a scoped plan: what gets built first, what it costs, what it pays back.
03
Build
I build it in n8n, Make.com and Claude, wired into your stack and tested on live work.
04
Train & Handoff
Your team is trained, the system is documented, and it keeps running without me.
About Samir
Why a business owner, not a developer, is who you want building this.
I learned to build with AI by solving my own operational problems first. That means every system I ship gets judged by one question: does this actually save time and make money, not whether it's technically impressive.
Dubai-based, working with founders worldwide. You work with me directly: no account managers between you and the person doing the work, and no vocabulary you need a translator for. We'll talk about which hours in your week are being burned and which revenue is quietly leaking, then I install the thing that stops it.
AED 0.0M
Sales generated from $5,000 of ad spend for Sobha Properties
0 wks
Typical time from brief to live
0
AI systems live in client operations
0%
Built, documented and handed over
Client words
What it's like on the other side of a build.
“We put about $5,000 into Facebook ads and closed AED 1.4 million in sales. The difference wasn't the ads on their own, it was the lead flow Samir built behind them. Nothing sat waiting for an agent to get around to it.”
“I used to spend my evenings replying to booking messages. Now parents book, reschedule and get reminders without me touching it. I got my nights back and stopped double-booking courts.”
“Samir built us a voice agent that actually sounds like us. It books calls while I'm in meetings, and the ones that need me still reach me with context. My lead response time went from 'whenever I can' to instant.”
“We were drowning in first-touch enquiries. The chatbot Samir built handles the repeat stuff properly and only passes real buyers to us. Best part? We didn't have to hire another account manager to scale it.”
Straight answers
The questions founders actually ask.
Because a chat window isn't a system. Opening ChatGPT still requires a person to decide to do it, know what to ask, and paste the result somewhere useful. What I build runs on its own: it answers the call, books the appointment, sends the follow-up, updates the record. And where people are involved, I train them on your actual workflows instead of handing over a tool and hoping.
The diagnosis takes days, not months. A scoped first build is typically live inside about four weeks, and I deliberately pick a first system that shows value fast rather than the biggest one on the list.
No. You need someone who knows how the work actually gets done, and access to your existing tools. I do the building; your team gets trained on using and monitoring it, not maintaining code.
Systems get built with failure in mind: fallbacks to a human, alerts when something doesn't complete, and documentation of every moving part. After handoff there's a support rhythm so issues get fixed instead of quietly ignored.
It's the reason this works. I judge every build by whether it saves time and makes money, not whether it's technically impressive. I learned to build with AI by solving my own operational problems first, so I speak in outcomes and hours, not architecture.
It depends on the scope, and I'll tell you the number before anything is built. Consulting is a fixed engagement, implementation is scoped per system, training is priced per team. If AI isn't the answer for your bottleneck, I'll say so on the call.
Contact
Tell me the bottleneck. I'll tell you if AI fixes it.
Next step