WhizCloud
Case study · Chapter 01
AI & Intelligent Systems

Turning raw CRM leads into qualified, sales-ready conversations — automatically.

A proof-of-concept outbound voice agent that dials new CRM leads, holds natural Hindi/Hinglish qualification calls, and writes budget, location, BHK, and timeline back into existing CRM workflows — built on LiveKit, Sarvam AI, and Google Gemini with TRAI/DLT and DPDP-aligned compliance.

Chapter 02
The challenge

Lead generation was fine — qualification could not keep up.

A real estate developer’s bottleneck was the first conversation. Manual telecalling queues let leads go cold, notes stayed inconsistent, and outbound calling carried real TRAI/DLT and DPDP exposure.

01

Leads go cold in hours

Queue-bound telecalling delayed first contact and burned conversion potential.

02

Language and tone expectations

Leads expected natural Hindi/Hinglish — not rigid English scripts or IVR menus.

03

Inconsistent qualification notes

Sales needed clean budget, location, BHK, and timeline fields — not messy call notes.

04

Compliance and call reliability

Outbound dialing required consent windows, suppression checks, and precise outcome classification for rings, voicemail, and failures.

Chapter 03
Project Context

Client

Real estate developer (confidential)

Industry

Real estate lead qualification

Integrations

LiveKit · Sarvam · Gemini · n8n

Engagement

Compliance-first voice AI POC

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