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Proof · Live in production

Days 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.

Three proofs

Our case studies

Everything we sell, we ran on our own business first.

Days → ~1 min
Quote turnaround
~30 sec
Appointment booking
0
Enquiries slipping through
Live
In production today
Watch it work

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.

The business

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.

Fix It Mates — the Dubai service business behind Streamlined's proof
Before

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.

The build

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.

The point

“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

Questions

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.

Start with a conversation

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.