A leading Dubai real estate developer managing 3,000+ residential units across 6 master communities needed to replace a legacy property management system with an AI-native platform — improving tenant experience, optimizing occupancy, and giving asset managers live portfolio intelligence.
This confidential client is a Tier-1 UAE real estate developer with a residential portfolio spanning 3,000+ units across 6 master-planned communities in Dubai. Their existing property management system was a 9-year-old on-premise solution with no mobile capability, no analytics layer, and a maintenance ticketing system so slow that residents had resorted to calling the developer's CEO directly. Tenant satisfaction scores were declining despite strong property quality.
The challenge was multidimensional: build a platform that tenant-facing, operations-facing, and executive-facing simultaneously — on a 8-month timeline, with migration of 9 years of legacy data, Arabic and English bilingual support, and integration with UAE's Ejari tenancy registration system and DEWA utility APIs.
We designed a three-layer platform: a tenant-facing mobile app, an operations web platform for property managers, and an executive analytics layer.
React Native app supporting iOS and Android: digital lease signing via DocuSign, DEWA bill viewing, maintenance request with photo/video, visitor management QR codes, amenity booking, and community announcements — available in Arabic and English.
Predictive maintenance model trained on historical maintenance data — identifies high-probability failure points (HVAC, plumbing, elevator) before tenant-reported issues emerge, reducing reactive maintenance by 58%.
Dynamic pricing recommendation engine for renewal and new tenancy — incorporating comparable market data, unit characteristics, tenant payment history, and seasonality to maximize revenue per available unit.
Automated tenancy contract registration with UAE's Ejari system and real-time DEWA connection/disconnection requests — removing 100% of manual government portal interactions.
Intelligent automated responses for 78% of common tenant inquiries — lease terms, payment schedules, maintenance status — with seamless escalation to human agents for complex cases.
Live asset manager dashboard: occupancy by community, average rent per sqft vs. market, maintenance cost per unit, tenant retention scores, and cash flow forecasting — updated in real time.
Our tenants went from calling the CEO to submitting maintenance requests in 30 seconds on their phone. The AI maintenance prediction is remarkable — it identified an HVAC compressor failure 11 days before it happened across 3 units. Zyrova built something that changed how our entire operations team works.
Omar Khalaf Head of Asset Management · Emaar-tier Developer (Confidential)