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AI automation and digital marketing case studies, Dubai

Four AI automation and digital marketing case studies for the UAE — a WhatsApp AI chatbot for real estate, KYC document automation for banks and insurers, Arabic SEO for e-commerce and quote-to-invoice automation for logistics — written out as delivery patterns so you can judge the thinking rather than the logo wall.

A note on what follows. Brolly.ae is a new UAE entity, so these are delivery patterns rather than published client results. We have deliberately left the metrics blank instead of inventing them. Real UAE case studies, with named clients and measured numbers, will replace these as engagements complete.
A WhatsApp enquiry in Arabic arriving at 23:41 against the Dubai Marina skyline, answered in seconds, qualified and routed to a sales desk
Illustrative — drawn in-house; figures show the shape of a result, not a published client result
Real Estate6 weeks to pilotPattern

24/7 bilingual lead response on WhatsApp

Portal and paid-social leads arrive around the clock. Agents reply during office hours. By morning the buyer has already spoken to two other brokerages, and the CRM shows a lead that was 'never contacted'.

Read the approach
A KYC pack — Emirates ID, passport and a scanned form — read into structured fields with a confidence score each; the one low-confidence field is routed to a human reviewer
Illustrative — drawn in-house; figures show the shape of a result, not a published client result
BFSI12 weeksPattern

Document intelligence for KYC and claims intake

A team reads incoming PDFs and scans, keys the fields into the core system, and flags anything unusual. Volume grows every quarter; headcount can't.

Read the approach
Two AI-answer cards, one for an English query and one for an Arabic query, both citing the same UAE store, beside a chart of Arabic organic sessions climbing to match English
Illustrative — drawn in-house; figures show the shape of a result, not a published client result
Retail & E-commerce6 monthsPattern

Bilingual search growth and AI-answer visibility

Strong English rankings, near-zero Arabic visibility, and no presence in AI-generated answers where a growing share of research now starts.

Read the approach
A container terminal at dusk beneath three system panels — CRM, operations and accounting — joined in a loop so one job reference flows from quote to invoice
Illustrative — drawn in-house; figures show the shape of a result, not a published client result
Logistics10 weeksPattern

Quote-to-invoice automation across three systems

Quotes built in spreadsheets, jobs raised in an ops system, invoices issued in accounting. The same reference number typed three times, and month-end reconciliation taking a week.

Read the approach
Method

The same four stages, every time

01

Discovery sprint

Two weeks. We map the workflow, the data, the stack and the commercial goal, then price the build against a number you care about.

Scope, architecture note, fixed quote.

02

Pilot

One workflow or one channel, live, in 4–6 weeks. Small enough to prove, real enough to matter.

Working system + measured baseline.

03

Scale

Roll the proven pattern across teams, markets or channels. Integrations hardened, monitoring in place.

Production rollout.

04

Handover & enablement

Runbooks, admin training and academy sessions for the people who now own it.

Your team running it without us.

Next step

Tell us the workflow that costs you the most.

A 30-minute call, no deck. If we don't think we're the right fit, we'll say so and point you somewhere better.

Book a discovery callEmail projects@brolly.ae