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Proven Results

Real Businesses. Real Numbers.

Anonymised client scenarios across 12 industries — from Dubai to London to Singapore. Each outcome is based on measured results from live AI deployments. The pattern is consistent: respond faster, convert more, retain longer.

These are anonymised client scenarios. Business names and identifying details have been changed to protect client confidentiality. All outcomes are based on measured results from live AI deployments across our client portfolio.
Real Estate · Dubai, UAE

Crescent Key Realty Dubai

The Challenge

A mid-size brokerage with 14 agents operating across Dubai Marina, Downtown, and Business Bay. Lead volume from property portals and Instagram campaigns was consistent — but average response time was 3.5 hours. Agents were spending 60% of their day on WhatsApp admin, spreadsheet updates, and manually scheduling viewings. High-intent leads were going cold before anyone called back. Management had no real-time pipeline visibility.

What We Built

  • AI lead qualification agent on WhatsApp responding within 90 seconds to every enquiry — filtering serious buyers, gathering requirements, and booking viewings into agent calendars
  • 6-touch automated follow-up sequence for non-responsive leads, sent at optimal intervals over 14 days
  • CRM automation syncing Bayut and Property Finder leads instantly, with high-intent alerts pushed directly to agents
  • Weekly AI-generated pipeline summary emailed to management every Monday at 8am

Results — 4 Months Post-Launch

<2min Lead Response Time (was 3.5 hrs)
3.1x Lead-to-Viewing Conversion Rate
-65% Agent Time on Admin Tasks
AED 1.9M Additional Revenue (4 Months)

"Crescent Key used to lose deals before we even called back. The AI qualification system changed everything — agents now spend their time at viewings and closings, not on WhatsApp. Revenue is up AED 1.9M in 4 months."

Omar Hadi, Managing Director, Crescent Key Realty Dubai

Omar Hadi

Managing Director, Crescent Key Realty Dubai

Restaurants & F&B · Dubai, UAE

Saffron Table Dining Group

The Challenge

A 3-location casual dining group across Business Bay, JBR, and Mirdif receiving 200+ WhatsApp messages daily — reservation requests, menu queries, delivery questions — all handled manually. No-show rate was 17%. After visits there was no follow-up, no review request, no re-engagement strategy. Staff were reactive and stretched thin across all three branches.

What We Built

  • 24/7 WhatsApp AI agent handling reservations, menu queries, and delivery coordination — Arabic and English, across all branches
  • Booking confirmation sent immediately, with a 3-hour pre-visit reminder and a one-tap cancellation/reschedule link
  • Post-visit follow-up: Google review prompt 2 hours after the meal; personalised return-visit offer at 7 days
  • Monthly guest re-engagement broadcast to past diners, segmented by branch and visit frequency

Results — 3 Months Post-Launch

-70% No-Show Rate (17% → 5.1%)
+38% Monthly Revenue vs Prior Year
88% WhatsApp Enquiries Automated
4.7★ Google Rating (was 4.2★, +180 reviews)

"We used to miss reservations and lose reviews because our team was too busy to follow up. The AI handles every message, confirms every booking, and brings guests back. No-shows nearly disappeared and revenue is up 38%."

Leila Qureshi, Group Operations Manager, Saffron Table Dining Group

Leila Qureshi

Group Operations Manager, Saffron Table Dining Group

Retail & E-Commerce · London, UK

Velora Commerce House

The Challenge

An online fashion and lifestyle retailer with 50,000+ active customers. Cart abandonment sat at 71%. Customer support was receiving 400+ queries per week with backlogs lasting 3–4 days during seasonal peaks. Post-purchase communication was virtually non-existent. Repeat purchase rate was 14% — well below category benchmarks.

What We Built

  • 3-step abandoned cart recovery via email and SMS — triggered at 15 minutes, 4 hours, and 24 hours post-abandonment with personalised product imagery
  • AI customer support agent on website and email, trained on product catalogue, returns policy, and sizing guides — 24/7
  • Post-purchase sequence: order confirmation, shipping update, delivery confirmation, review request, and personalised replenishment prompt
  • Lapsed-customer win-back campaigns triggered at 60, 90, and 120 days of inactivity, personalised by purchase category

Results — 6 Months Post-Launch

+39% Recovered Cart Revenue
14%→26% Repeat Purchase Rate
67% Support Queries Automated
£210K Additional Revenue (6 Months)

"Cart abandonment used to be our biggest revenue leak. Within 6 weeks the recovery sequences were generating more revenue than our Facebook ad spend. Repeat customers are up and support backlogs are gone entirely."

Daniel Mercer, E-Commerce Director, Velora Commerce House

Daniel Mercer

E-Commerce Director, Velora Commerce House

Healthcare & Clinics · Dubai, UAE

NuraCare Medical Centre

The Challenge

A multi-specialty private medical centre with 8 consultants and a premium outpatient focus. The no-show rate was 24% — at an average appointment value of AED 650, the monthly cost was significant. The admin team managed 150+ inbound calls and messages daily with zero capacity for proactive outreach. There was no post-consultation follow-up or patient re-activation programme.

What We Built

  • AI patient intake across WhatsApp and website: gathering consultation requirements, routing to the right specialist, and booking appointments with no admin involvement
  • Two-stage reminder workflow: 48-hour confirmation + 2-hour final reminder with a one-tap reschedule link
  • Post-consultation care sequence: care instructions at 24 hours, satisfaction check at 48 hours, rebooking prompt at 6 weeks
  • Lapsed patient re-engagement for anyone 90+ days inactive, personalised by consultation type and treatment history

Results — First Quarter Post-Launch

-65% No-Show Rate (24% → 8.4%)
AED 92K Additional Revenue — Q1
+42% Patient Retention Rate
3.6x More Consultations Booked Per Week

"Our admin team was overwhelmed and no-shows were costing us more than AED 20,000 per month. After three months the AI system had paid for itself many times over — and our patients comment on how responsive we've become."

Dr. Sana Rahim, Clinic Director, NuraCare Medical Centre

Dr. Sana Rahim

Clinic Director, NuraCare Medical Centre

Fitness & Wellness · Dubai, UAE

CoreLift Wellness Clubs

The Challenge

A 3-location premium gym and wellness club with 42% annual member churn — most cancellations arriving without warning. Trial-to-membership conversion sat at 22%. Staff were fielding 300+ WhatsApp queries per week on class timetables and membership pricing. There was no proactive retention system of any kind.

What We Built

  • WhatsApp AI for class bookings, timetable queries, and membership enquiries — Arabic and English, 24/7
  • 8-touch trial-to-member nurture sequence delivered over 21 days post-trial, with a time-limited offer on day 14
  • Churn-prevention engine: identifies members with declining check-in frequency and triggers personalised win-back outreach 30 days before likely cancellation
  • Monthly automated progress summary sent to each active member, highlighting attendance streaks and milestones

Results — 5 Months Post-Launch

-40% Annual Member Churn Rate
22%→44% Trial-to-Member Conversion
82% WhatsApp Queries Automated
AED 380K Additional Annual Recurring Revenue

"We were losing members quietly with no warning system. The AI flags at-risk members before they cancel and our trial conversion nearly doubled. It's added AED 380K in recurring revenue without a single additional hire."

Maya Thornton, Head of Member Experience, CoreLift Wellness Clubs

Maya Thornton

Head of Member Experience, CoreLift Wellness Clubs

Legal & Finance · London, UK

Northrow Legal Advisory

The Challenge

A boutique corporate and commercial law firm with 12 fee earners. New matter enquiries were receiving responses 48–72 hours after initial contact. Senior lawyers spent significant time drafting routine documents rather than billable advice work. Client onboarding was paper-heavy and frequently delayed matter commencement by a full week. Repeat business from past clients was largely unrealised.

What We Built

  • AI intake system responding within 10 minutes of enquiry: qualifying matter type, collecting initial details, running a conflict prompt, and scheduling a consultation
  • Automated document generation for high-frequency templates: engagement letters, NDAs, and standard terms — drafted from structured intake data
  • Digital client onboarding: KYC checklist, document upload, status tracking — reducing onboarding from 5 days to under 24 hours
  • Quarterly past-client re-engagement programme, personalised by practice area and matter history

Results — First Year Post-Launch

<15min Enquiry Response (was 60+ hrs)
+37% New Matters Opened Per Month
-62% Document Preparation Time
£265K Additional Billable Revenue (Year 1)

"We were slow to respond and slower to onboard — and prospects noticed. The AI intake system now responds within minutes and new matter conversion has improved dramatically. £265K in additional revenue in year one, with no additional headcount."

Hassan Mirza, Managing Partner, Northrow Legal Advisory

Hassan Mirza

Managing Partner, Northrow Legal Advisory

Education & Training · Dubai, UAE

BrightArc Learning Institute

The Challenge

A private professional training centre receiving 120+ weekly enquiries via WhatsApp and email. Slow follow-up was losing prospective students to competitors. Course completion rates were 58%. Enquiry-to-registration averaged 8 days — too slow for motivated learners ready to commit. Admin team had no capacity for proactive outreach.

What We Built

  • WhatsApp AI answering all enquiries instantly: schedules, fees, prerequisites, certifications — qualifying serious enrolees in real time
  • Automated enrolment workflow: enquiry → suitability check → course recommendation → payment link, compressing registration from 8 days to under 36 hours
  • Student engagement programme: weekly progress check-ins, milestone acknowledgements, and assessment reminders at optimal intervals
  • Corporate account automation: monthly utilisation reports and automated renewal prompts 30 days before cohort end

Results — 5 Months Post-Launch

+58% Enrolment Conversion Rate
8d→31h Enquiry-to-Registration Time
58%→79% Course Completion Rate
AED 215K Additional Enrolment Revenue (5 Mo.)

"Students were choosing other institutes because we were too slow to respond. After launch, enrolment conversion jumped 58% and registration takes hours, not days. Completion rates are at an all-time high."

Amira Suleman, Academic Operations Lead, BrightArc Learning Institute

Amira Suleman

Academic Operations Lead, BrightArc Learning Institute

Hospitality & Hotels · Dubai, UAE

Cresthaven Harbour Suites

The Challenge

A boutique 95-suite marina-facing hotel. Pre-arrival communication was non-existent — leaving guest expectations unmanaged. Only 31% of guests engaged with on-property F&B and spa services. TripAdvisor reviews were sporadic with a stagnant 4.1★ rating. 68% of bookings were OTA-sourced, carrying 18–22% commission.

What We Built

  • Pre-arrival AI welcome sequence: personalised confirmation, room upgrade offer, restaurant reservation prompt, and curated local recommendations — sent at 7 days and 24 hours before arrival
  • In-stay WhatsApp touchpoints: day-1 amenity intro, day-2 dining and spa offer, day-3 late checkout prompt
  • Post-stay review campaign: personalised message within 2 hours of checkout with TripAdvisor and Google links
  • Past-guest direct booking campaign with exclusive direct-rate incentives, reducing OTA dependency

Results — 6 Months Post-Launch

+27% F&B & Spa Upsell Revenue
4.7★ TripAdvisor Rating (was 4.1★, +210 reviews)
+21% Direct Booking Share
AED 310K Additional Revenue (6 Months)

"Guest experience transformed. On-property spend per guest increased because the AI prompts the right offer at exactly the right moment. OTA dependency is down, reviews are up, and this property is at its highest revenue level since opening."

Julian Reeves, General Manager, Cresthaven Harbour Suites

Julian Reeves

General Manager, Cresthaven Harbour Suites

Automotive · Dubai, UAE

DriveAxis Auto Group

The Challenge

A premium pre-owned vehicle dealership with 200+ vehicle inventory. High enquiry volume from Dubizzle and CarSwitch was arriving — but responses averaged 4+ hours, by which time buyers had moved on. Showroom visit-to-sale conversion sat at 22%. Post-sale there was no systematic follow-up for servicing, trade-ins, or referrals. Sales team spent 3+ hours daily on manual lead triage.

What We Built

  • AI lead qualification responding to every portal enquiry within 90 seconds: capturing budget, timeline, and vehicle preference, then booking test drives into the sales calendar
  • Test drive confirmation and reminder sequence with an easy-reschedule link, cutting no-show test drives by 48%
  • Post-sale sequence: warranty activation at day 3, first service reminder at month 5, trade-in offer at month 18, referral request at day 30
  • Monthly WhatsApp broadcast to past buyers segmented by vehicle type, price band, and last contact date

Results — 6 Months Post-Launch

<90s Lead Response Time (was 4+ hrs)
5x Test Drive Bookings Per Week
22%→39% Showroom Visit-to-Sale Rate
AED 2.1M Additional Sales Revenue (6 Months)

"We were losing buyers to whoever called back first — and it wasn't us. The AI responds in under two minutes, books the test drive, and hands off a qualified appointment. Conversion is up 17 percentage points and we generated AED 2.1M in six months."

Karim Nasser, Sales Operations Lead, DriveAxis Auto Group

Karim Nasser

Sales Operations Lead, DriveAxis Auto Group

Construction & Fit-Out · Dubai, UAE

FoundryRise Contracting

The Challenge

A mid-size construction and fit-out contractor managing RFQs manually through email and WhatsApp. Quote turnaround averaged 6 days — losing contracts to faster competitors. Subcontractor coordination was entirely phone-based. Management had no live project visibility, relying on weekly site reports that were often delayed or incomplete.

What We Built

  • AI RFQ intake: acknowledges, classifies, and routes all new project enquiries within minutes — structuring all data the quoting team needs
  • Assisted quote generation: structured intake feeds a quote template, reducing senior estimator time per quote from 6 hours to under 90 minutes
  • Subcontractor coordination system: automated scope notifications, confirmation requests, and follow-up sequences replacing manual phone chasing
  • Live project dashboard updated daily with an automated Monday morning status digest sent to management at 7am

Results — 6 Months Post-Launch

-73% Quote Turnaround (6 days → 22 hrs)
+36% RFQ-to-Contract Conversion Rate
-45% Subcontractor Coordination Time
AED 2.7M New Contracts Signed (6 Months)

"We were losing jobs because we quoted too slowly. Now we respond within a day and our win rate has improved significantly. The subcontractor workflow saves dozens of hours per week and management has real-time visibility for the first time in our company's history."

Rami Khalaf, Project Delivery Director, FoundryRise Contracting

Rami Khalaf

Project Delivery Director, FoundryRise Contracting

Beauty & Aesthetics · Dubai, UAE

LumaDerma Aesthetic Studio

The Challenge

A premium single-location aesthetic medicine studio in Jumeirah with an average appointment value of AED 1,400. No-show rate was 19%. Instagram DM response time was 4–6 hours. There was no systematic rebooking process after treatments, and revenue dipped sharply in summer months with no proactive campaign to smooth the curve.

What We Built

  • Instagram DM and WhatsApp AI agent responding within 60 seconds: qualifying treatment interest, answering consultation questions, and booking appointments autonomously
  • 48-hour and 2-hour appointment reminder sequences with a one-tap reschedule link
  • Post-treatment rebooking campaign: personalised follow-up at 4 weeks with the recommended next treatment, seasonal timing factored in
  • Low-season automation: targeted summer offers to past clients each June–August, segmented by treatment type and average spend

Results — 8 Months Post-Launch

-64% No-Show Rate (19% → 6.8%)
<60s DM Response Time (was 4–6 hrs)
+48% Monthly Recurring Bookings
AED 195K Additional Revenue (8 Months)

"No-shows were our biggest problem and summer was our quietest — both are largely solved. The AI books consultations, sends reminders, and brings clients back on a schedule. Revenue is up AED 195K in eight months and our summers are no longer quiet."

Elena Volkov, Clinic Owner, LumaDerma Aesthetic Studio

Elena Volkov

Clinic Owner, LumaDerma Aesthetic Studio

Logistics & Trade · Singapore

StraitPath Trade Logistics

The Challenge

A regional freight forwarding provider with 500+ active client accounts. The operations team spent 5–6 hours daily responding to shipment status enquiries — information clients should have received proactively. Invoice processing took 3–4 days per cycle and required manual data extraction. Dormant accounts (60+ days inactive) were not being systematically re-engaged.

What We Built

  • Proactive shipment notifications: automated status updates at booking confirmation, departure, arrival, and customs clearance — eliminating reactive inbound calls
  • AI client support agent via WhatsApp and email: handling ETA queries, documentation requests, and structured escalation for exceptions
  • Invoice automation: data extraction, line-item verification, and client dispatch compressed from 3–4 days to same-day processing
  • Lapsed-client re-engagement at 60 days of inactivity, with personalised outreach on new routes, rate improvements, and priority availability

Results — 7 Months Post-Launch

-72% Inbound Status Enquiries
78% Invoices Processed Automatically
31% Dormant Client Reactivation Rate
SGD 195K Annual Operational Cost Savings

"Half our operations day was answering 'where is my shipment?' The AI now tells clients before they ask. Invoice processing is same-day. We reactivated 31% of dormant accounts in the first quarter. The ROI justified itself within the first six weeks."

Kenji Mori, Regional Operations Manager, StraitPath Trade Logistics

Kenji Mori

Regional Operations Manager, StraitPath Trade Logistics

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12 industries. Clients across Dubai, London, and Singapore. Every engagement began with a single free 30-minute call. The results you just read? That's what happens next — for your business.

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