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Aye Finance streamlines multilingual collections and acquisition

Key metrics overview

Automation across collections and acquisition drove high monthly collections, cost savings, and language localization.

41.84 Cr

collections/month

1.44 Cr

OpEx saved

8+

languages

0.034×

cost-to-collection ratio
Organisation
Aye Finance Ltd
Website
https://ayefin.com
Industry
Financial services / Microfinance (BFSI)
Founded
2014
Channel
Phone call (voice AI)
Usecases
Collections, lead generation, multilingual outreach, risk segmentation
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A leading Indian microfinance institution with pan‑India presence faced manual, multilingual operational challenges in acquisition and collections. Gnani.ai’s voice‑AI helped it automate collections, lead qualification, and repayment reminders across 8+ languages.

The Solution

Our AI-led automation streamlined both collections and acquisition for Aye Finance, ensuring cost efficiency and superior borrower experience. By deploying voice bots in multiple languages, we eliminated manual complexities and optimized repayment cycles. This approach enabled consistent, scalable engagement across regions.

01

AI-powered voice bots handled multilingual interactions for pre-due and post-due reminders, significantly reducing delays and improving borrower compliance rates.

02

Repayment workflows were automated, capturing promises-to-pay (PTP) and scheduling directly during conversations, enhancing accuracy and reducing agent overhead.

03

Lead qualification was fully automated, simplifying the asset loan acquisition process and allowing field agents to focus on high-value interactions.

04

Risk-based segmentation enabled tailored communication strategies for different borrower profiles, resulting in higher engagement and better repayment outcomes.

These automation initiatives delivered high‑scale coverage with personalized, multilingual outreach, improving efficiency and reach.

The Impact

Aye Finance witnessed a surge in collections, cost savings, and improved customer engagement metrics. Multilingual coverage ensured borrowers received timely and accurate information, boosting trust and compliance.

41.84 Cr

collections

1.44 Cr

OpEx saved

8

languages

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