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Proof · Live in productionDays to a minute: the quoting system we built for our own company
Before Streamlined sold a single project, it built an AI quoting system for Fix It Mates — a real Dubai maintenance and renovation business. It works. This is the proof behind everything we offer.
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Everything we sell, we ran on our own business first.
The quoting system
A WhatsApp enquiry becomes a fully-drafted quote in Jobber — days to about a minute.
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6,128 leads at AED 25 each across nine service lines, with AI-assisted optimisation.
Read the case study →Real footage: a request becomes a Jobber quote
No mockups. A real WhatsApp enquiry goes in; about 30 seconds of human input, and the AI reads it, prices it, creates the client and drafts the full quote — ending inside Jobber. The same flow runs at Fix It Mates every day.
Real footage, sped up: a WhatsApp enquiry becomes a fully-drafted quote inside Jobber. About 30 seconds of human input — pasting the enquiry — and the AI does the rest: reads it, prices it, creates the client, and populates the quote.
A real Dubai service company, not a demo
Fix It Mates handles maintenance, joinery and renovation across Dubai. Like every service business, it lived and died on quotes — and quoting was swallowing hours and slowing down every job.
The founder runs it. So when the quoting system was built, it had to survive real clients, real scope, and real pressure — not a slide deck. It did.

What quoting cost the business
Days per quote
Reading the request, pricing it, formatting it and sending it took days — while clients waited and compared other bids.
Bottlenecked on one person
Only certain people could quote, so the whole pipeline waited on them. Growth meant more of the same manual grind.
Leads slipped away
Enquiries arrived faster than they could be handled. Some simply never got a reply. That's lost revenue, quietly.
n8n + Jobber + Claude, wired into the real workflow
A request comes in
A job description arrives in plain language — the words the client actually used, in English or Arabic.
n8n + Claude read and structure it
The system identifies the client, parses the scope, and builds itemised line items from the company price list.
Jobber draft is created
A client, request and draft quote appear directly in Jobber — no double entry, in the business's branding.
A human approves and sends
One review, one click. What took days now takes about a minute — with full control kept over pricing.
“We didn't buy a tool and hope. We built the system on our own business, broke it, fixed it, and only then offered it to anyone else. That's why we can say it works — because it's working right now.”
Owais · Founder, Streamlined
About the case study
Is the Streamlined quoting system actually in use?
Yes. It is live in production at Fix It Mates, a Dubai maintenance, joinery and renovation company, handling real client requests every week. It was built and proven there before being offered to any external client.
What results did it produce?
Quote turnaround dropped from days to roughly one minute, appointment booking takes around 30 seconds, and enquiries no longer slip through unanswered.
What tools does it use?
It runs on n8n for automation, Jobber as the quoting and CRM tool, and Claude for language understanding — the same stack Streamlined deploys for clients.
Can the same system work for my business?
If you quote regularly and use (or can move to) a tool like Jobber, yes. The exact fit is confirmed in a short, free audit.
Want the same system in your business?
Book a free 15-minute call and we'll show you the quoting system live — then map what it would do for your numbers.