Keerthi Karan
‹ All deployments

Casagrand · Real estate · 2026

A sales agent that knows every flat in Chennai

A buyer calls and asks for a 3BHK near OMR, ready by next year, under a crore. The agent has to know what's actually available today, not what was in last month's brochure. Then it qualifies the buyer and books the site visit.

Team servedSales
ChannelInbound and outbound voice
Coverage63 projects in Chennai
My roleCustomer success, data pipeline
Keerthi receiving the Voice AI Pioneers award on stage
Accepting the Voice AI Pioneers award for this agent, at our event with EkStep.

The problem

The agent is only as good as its inventory, and the inventory lives in the sales team's ready reckoner. It's a spreadsheet that changes every week, with merged cells, sold-out notes typed inline, prices in different columns, and the same locality spelled five different ways. Feed that to an agent raw and it will pitch a flat that sold last Tuesday.

What I did

How it works

Ready reckoner›Clean + group›Knowledge base›Voice agent›Qualify›Site visit booked

Impact

63
projects the agent can talk about
193
unit types, each with live status
30
localities, matched the way people say them
Award
Voice AI Pioneers

Stack

ConvoZen voice agentsPython and openpyxlKnowledge baseLead qualificationSales dashboard