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NBFC Case Study: Voice AI Boosts Debt Recovery Rates

Collections success metrics

AI-powered voice automation improved reach, cut costs, and maximized monthly recovery at scale.

20.03 Cr

debt/month

1.38 Cr

OpEx saved

63%

collection rate

0.07×

cost ratio gain*
Organisation
Leading NBFC
Website
Confidential
Industry
NBFC / Auto Finance
Founded
2010
Channel
Phone call (voice AI)
Usecases
Debt collections automation, multilingual reminders, PTP capture, escalation routing
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A leading Indian auto NBFC faced inefficiencies in large-scale collections due to limited agent capacity, high OpEx, and poor scalability. Gnani.ai introduced AI-driven automation to transform the collections process.

The Solution

The leading NBFC adopted Collect365 to fully automate collections workflows and scale multilingual outreach. This AI-powered approach replaced manual calling with dynamic voice automation, improving connectivity and reducing costs while enhancing customer experience.

01

AI voicebots automated end-to-end collections outreach across pre-due and post-due accounts, reducing agent workload dramatically.

02

Integrated payment intent capture (PTP) and dynamic scheduling ensured efficient handling of promises-to-pay and follow-up conversations.

03

Advanced segmentation allowed targeted communication based on borrower behavior and risk profiles, improving overall repayment rates.

04

Dashboards and real-time analytics enabled instant escalation to human agents when necessary, ensuring faster resolution of exceptions.

The solution enabled scalable, low-cost, and personalized outreach, reducing agent workload significantly.

The Impact

The top NBFC witnessed higher monthly recovery rates, significant OpEx savings, and improved outreach performance through scalable, AI-led automation.

20.03 Cr

collected

1.38 Cr

OpEx saved

63%

collection rate

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