How a Pune property management firm killed their inbox — without firing or hiring.
Habitat Collective is a rental property management firm in Pune managing 4,200 residential units across Kharadi, Wakad, Baner, and Hinjewadi for 1,100+ NRI and HNI landlords. Founded in 2018, 62 employees, ~₹38 Cr ARR — mostly a 7% management fee on rent collected.
Their protagonist is Aniket Deshmukh, Head of Tenant Operations, who runs a team of 14 support associates and hasn't had a Sunday off since Q3 2024.
Tenant requests landed across four channels: WhatsApp (61%), in-app tickets (22%), email (11%), and direct calls (6%). Volume averaged 380 messages/day, spiking to 540 on weekends and the 1st–5th of every month. The team had a 4-hour internal SLA. They were hitting 71%.
A burst geyser in a 3BHK in Kharadi sat in the WhatsApp queue for 19 hours because the associate who'd seen it first went on leave and never reassigned it. The tenant escalated to the landlord in Dubai, the landlord threatened to switch managers, and Habitat lost the contract.
Aniket's audit found that 64% of all queries fell into 11 repeating categories: rent receipts, society NOC, water tanker bookings, maintenance status, lease renewal, brokerage clarifications, move-out checklists, and four others. The team was burning 9.5 person-hours a day on questions they had answered a thousand times before. Hiring two more associates would cost ₹14L/year and not fix the routing problem.
Vynara built a tenant-facing AI agent on WhatsApp Business API and the in-app chat, with a single shared context layer pulling from Habitat's existing PMS (custom Laravel app), Razorpay rent-collection records, and the society management portal. The agent handles 11 query categories end-to-end — including generating signed rent receipt PDFs and booking water tankers via the existing vendor API.
Anything outside its remit, or anything emotional ("this is the third time the lift is broken"), gets escalated to a human with a one-line summary, full conversation history, and a suggested first response already drafted. Build to live tenant traffic: 5 weeks. Maintenance dispatch, legal queries, and any landlord-facing conversation stayed 100% human by design.
Annualised: ₹11.7L in avoided hires · 1,600+ hours redeployed to landlord retention calls · 2 churned contracts won back in Q2.
I stopped checking WhatsApp at 2 AM. That's the metric. My wife noticed before my dashboard did.
The escalation summary is the part I didn't know I needed. I open a ticket and I already know what to say.
The rest is good escalation. Whether you manage tenants, dealers, or SaaS tickets, the shape is the same.