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.
- Client
- Residential and commercial brokerage
- Region
- United Arab Emirates
- Scale
- 120 agents across 4 offices
- Timeline
- 10 weeks across four offices
Representative engagement. Client details are anonymised and figures reflect typical outcomes from comparable deployments.
What the client got
0%
Of agent activity now in the CRM
Up from an estimated 20 percent, without agents typing notes.
0%
Faster first response to portal leads
Routing by response time rewards agents who answer.
0%
Marketing spend reallocated
Away from channels that produced enquiries but no closings.
The bottlenecks
Bottleneck 1
Agents treated the CRM as admin
Deals happened on WhatsApp and phone calls. The CRM showed a fraction of real activity, so pipeline reviews were fiction.
Bottleneck 2
Leads were distributed by favour
Portal leads went to whoever the manager liked. There was no routing by speciality, language or performance.
Bottleneck 3
Marketing spend was unattributed
Portal subscriptions, paid social and events cost a lot. Nobody could say which produced commission.
What we built
Step 1
Activity capture without typing
Call recordings and WhatsApp Business conversations are transcribed and summarised by an LLM, matched to the right contact, and logged as CRM activity with next steps extracted. Agents correct rather than create.
Step 2
Lead routing by rules
Portal and website leads are scored, then routed by property type, area, language and the agent’s current response time. Slow responders lose priority automatically.
Step 3
Attribution from first touch to commission
Every lead carries its source. Closed deals roll up to a dashboard showing cost per closing by channel, updated daily.
Step 4
Manager coaching views
Each office head sees agents’ response times, conversation volumes and conversion by stage, with weekly AI-generated notes on who needs help and why.
The automation workflow
Lead to commission, captured automatically
From portal enquiry to attributed closing
Questions clients ask about this engagement
Are calls recorded with consent?
Yes. Recording notices follow UAE requirements, and transcripts are stored in the client’s own CRM, not with us or the model provider.
Did agents resist?
Briefly. Once lead routing favoured agents with clean CRM data and fast responses, adoption followed the commission.
More in Real Estate & PropTech
Industry overview
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.
2 min
Median first response
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
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 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
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.