Anonymized compositeReal Estate Bengaluru 6 weeks to go-live

A Real Estate Developer in Bengaluru Replaced a 5-Person WhatsApp Desk with AI Lead Qualification

AI lead-qualification layer that handles first-touch WhatsApp enquiries, RERA-compliance questions, and site-visit booking — triaging hot leads to human sales agents only when the lead is qualified.

Lead-qualification cost

₹2.2 L → ₹42 K /mo

81% reduction

Industry

Residential Developer

Location

Bengaluru, Karnataka

Timeline

6 weeks to go-live

Client: A mid-market residential real estate developer in Bengaluru with 3 active projects. Client name withheld. This page is an anonymized composite of recurring implementation patterns. Figures are representative internal examples, not independently audited results or guarantees.

Key Facts

Industry: Real estate — Residential developer
Location: Bengaluru, Karnataka, India
Problem: 5-person WhatsApp desk spending ₹2.2 lakh/mo on first-response qualification
Solution: AI lead-qualification agent with site-visit booking and CRM handoff
Timeline: 90 days end-to-end
Headline outcome: 3× lead volume handled with one fewer headcount on the desk
Cost reduction: Per-lead qualification cost down ~70%

The Challenge

▸5-person WhatsApp desk handled ~800 enquiries per month at a fully-loaded cost of ₹2.2 lakh/month.
▸Genuine buyer conversations were being drowned by speculative / broker / bot enquiries — the team estimated only ~18% of WhatsApp enquiries were serious buyers.
▸Response time was inconsistent after 8pm and on weekends, exactly when working professionals actually had time to enquire.
▸RERA-mandated disclosure questions (project ID, approvals, possession timeline) were being answered inconsistently, creating compliance exposure.

What We Built

1AI agent handles all first-touch WhatsApp enquiries with a scoring rubric built with the sales head: budget range, intent signals, timeline, location preference.
2Standardised RERA-mandated disclosures delivered consistently, with link to live project documents — every customer gets the same legally-required information.
3Site-visit booking end-to-end inside WhatsApp: the AI checks sales team availability, confirms the slot, and sends a calendar invite — no human in the loop.
4Only leads scoring ≥7/10 on the rubric route to a named human sales agent; everything else gets nurtured via a drip sequence until qualification.
5Dashboard for the sales head showing funnel conversion by project, by source, by time of day.

Representative Outcomes

These internal examples illustrate how success can be measured. Actual outcomes depend on baseline performance, data quality, integration scope, operating controls, and user adoption.

₹2.2 L → ₹42 K

Monthly lead-qualification cost

81% reduction including AI infrastructure

5 → 1

WhatsApp desk headcount

Four team members redeployed to site-visit sales work

18% → 47%

Qualified-lead rate reaching sales team

Same total enquiry volume

3×

Volume handled with same total cost base

Headroom for 2 more project launches without hiring

Technologies Deployed

WhatsApp AI chatbot with intent scoring
Calendar integration for site-visit booking
CRM integration (Zoho) with enriched lead profiles
Sales dashboard with funnel attribution

Services Used

Ai Chatbots Voice Ai Agents

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