AI-Powered Resident Concierge
WhatsApp Property Management System
The Problem
A UAE property management firm handling premium residential communities was drowning in tenant requests — maintenance, visitor access, amenity bookings, complaint tracking. Everything routed through phone calls and email chains. Response times were inconsistent and the operations team couldn't scale with the growing portfolio.
The Approach
I designed an AI-powered concierge system that lives where tenants already are: WhatsApp. The bot handles natural language requests, routes them to the right department, tracks resolution status, and escalates when needed. A management dashboard gives the operations team full visibility into every active request with SLA tracking.
Key Technical Decisions
- 01WhatsApp Business API as primary interface — zero adoption friction for residents
- 02LLM-powered intent classification and entity extraction for natural language
- 03Structured conversation flows for high-frequency tasks (maintenance, visitor pre-approval)
- 04Real-time dashboard with filterable queues, SLA tracking, and escalation alerts
- 05Multi-community support with isolated data and configurable workflows per property
The Outcome
Residents interact through a channel they already use daily. The operations team gets structured, trackable data instead of scattered emails. Request routing that previously required manual triage now happens automatically through AI classification.