---
title: "How Dvara KGFS Boosted Debt Collection Using Elision's AI Voicebot — Without Hiring a Single Agent"
url: "https://www.elisiontec.com/success-stories/dvara-kgfs-ai-voicebot-debt-collection/"
date: "2026-05-26T16:16:52+05:30"
modified: "2026-08-07T18:42:10+05:30"
author:
  name: "Naman Dabhi"
word_count: 90
reading_time: "1 min read"
summary: "High Call Volume"
description: "See how Dvara KGFS scaled EMI loan collection using Elision's AI Voicebot — zero new agents hired, fully TRAI 1600-series compliant. Read the case study."
keywords: "Dvara KGFS,Voicebot"
language: "en"
schema_type: "WebPage"
---

# How Dvara KGFS Boosted Debt Collection Using Elision's AI Voicebot — Without Hiring a Single Agent

_Published: May 26, 2026_  
_Author: Naman Dabhi_  

![](https://www.elisiontec.com/wp-content/uploads/2026/05/successtory-10.png)

### High Call Volume

Over 1 lakh outbound calls per month could not be handled manually at consistent quality and speed.

### Multilingual Borrower Base

Borrowers spoke in regional language which agents couldn’t cover all five reliably.

### Manual Lead Data Collection

Loan data capture during qualification calls relied on agents — leading to errors, gaps, and slow turnaround times.

### Missed Follow-Ups

Unanswered calls required manual follow-up scheduling, causing leads and collection opportunities to fall through.

### Inconsistent Collection Reminders

Payment due reminders lacked standardisation across agents — missing PTP (Promise to Pay) capture and date tracking.


---

_View the original post at: [https://www.elisiontec.com/success-stories/dvara-kgfs-ai-voicebot-debt-collection/](https://www.elisiontec.com/success-stories/dvara-kgfs-ai-voicebot-debt-collection/)_  
_Served as markdown by [Third Audience](https://github.com/third-audience) v3.5.3_  
_Generated: 2026-08-07 13:12:10 UTC_  
