Real estate sales gallery with a scale model and consultants showing a tablet
All case studies
Real Estate & PropTechAI AutomationAI Development

AI enquiry handling

Every property enquiry answered and qualified in under two minutes

Enquiries from portals, the website and WhatsApp were answered hours later by whichever agent was free. We built an AI enquiry agent that replies instantly in the buyer's language, qualifies budget and timeline, and books viewings into the right agent's calendar.

Client
Residential property developer
Region
United Arab Emirates
Scale
80 to 150 employees
Timeline
In progress, first phase live in 6 weeks

What the client got

0 min

Median first response

Down from several hours, across every channel and time zone.

0%

Fewer unqualified viewings

Agents meet buyers who match budget and timeline.

0/7

Coverage

No enquiry waits for office hours.

The bottlenecks

  1. Bottleneck 1

    Response time was measured in hours

    Portal leads arrived around the clock. By the time an agent replied the next morning, the buyer had spoken to three competitors.

  2. Bottleneck 2

    Unqualified viewings wasted agent days

    Agents drove to viewings for buyers who could not afford the unit or were not ready to move for a year.

  3. Bottleneck 3

    Leads were lost between channels

    A WhatsApp enquiry and a portal enquiry from the same person became two records, or none.

What we built

  1. Step 1

    Multichannel AI agent

    One agent answers portal emails, website chat and WhatsApp in English and Arabic, within seconds, using the live inventory and pricing sheet.

  2. Step 2

    Conversational qualification

    The agent asks about budget, purpose, timeline and financing in a natural exchange, scores the lead, and stops when the buyer is not a fit, politely.

  3. Step 3

    Viewing booking and hand-off

    Qualified buyers pick a viewing slot from the assigned agent's calendar. The agent receives a brief with the full conversation and the score.

  4. Step 4

    Follow-up that never forgets

    Buyers who go quiet are nudged on a schedule matched to their timeline, and handed back to a human the moment they re-engage.

The automation workflow

Enquiry to viewing flow

Any channel, any hour, one qualified hand-off

01

Enquiry

Portal, web or WhatsApp

02

Instant Reply

Under 2 minutes

03

Qualify

Budget, timeline, intent

04

Score

Fit against inventory

05

Book Viewing

Agent calendar

06

Agent Brief

Full context in CRM

Step 1 of 6
6 steps · Fully automated
StackOpenAIWhatsApp Business APIMake.comHubSpotGoogle Calendar

Questions clients ask about this engagement

Will buyers know they are talking to an AI?

Yes. The agent introduces itself as a digital assistant and offers a human at any point. Transparency improves, not reduces, booking rates.

What languages are supported?

English and Arabic in this deployment. The agent can be configured for any language the sales team can follow up in.

More in Real Estate & PropTech

Industry overview
Interior designer at a monitor showing a 3D render beside a 2D floor plan
Real Estate

Design automation

From client brief to 2D plan and 3D render without a designer touching it

Designers spent the first days of every project redrawing plans and producing concept renders before the client had even committed. We automated the path from brief and measurements to 2D floor plan and first 3D concept, so the studio could pitch in hours and reserve designers for the work clients pay for.

90%

Less pre-sale design time

Modern glass office tower under final construction with a leasing team reviewing floor plates
Real Estate

Commercial real estate outbound

Pre-leasing 68 percent of a commercial tower before completion

A developer with 1.2 million square feet coming to market relied on brokers who brought the same tenants to every building. We built a direct outbound engine to corporate real estate heads, GCC expansion leaders and facilities directors, and the leasing team pre-let most of the tower before the occupancy certificate.

68%

Pre-leased before completion

Property manager reviewing a maintenance request with a photo of a leaking tap on a phone
Real Estate

Property operations automation

Maintenance requests triaged, dispatched and closed without a coordinator

Six thousand tenants sent maintenance requests by email, phone, WhatsApp and a portal nobody liked. Three coordinators spent their days asking for photos, calling tradespeople and chasing invoices. We built an AI agent that triages every request, dispatches the right contractor, and keeps the tenant and owner informed until the job is closed.

83%

Requests dispatched without a coordinator

Real estate agents in a Dubai brokerage office reviewing listings and a CRM pipeline on screen
Real Estate

Revenue operations for brokerages

A brokerage CRM that updates itself, and agents who finally use it

A fast-growing brokerage had 120 agents, a CRM nobody updated, and no idea which marketing spend produced closings. We rebuilt the revenue operations layer so the CRM fills itself from calls, WhatsApp and portals, and management sees a pipeline they can trust.

94%

Of agent activity now in the CRM

Have a similar bottleneck?

Tell us how the work happens today. We will show you the workflow we would build and prototype it on your own process.