Leading NBFC maximizes debt recovery with Voice AI
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
0.07×
cost ratio gain*
63%
collection rate
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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.
AI voicebots automated end-to-end collections outreach across pre-due and post-due accounts, reducing agent workload dramatically.
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Integrated payment intent capture (PTP) and dynamic scheduling ensured efficient handling of promises-to-pay and follow-up conversations.
Advanced segmentation allowed targeted communication based on borrower behavior and risk profiles, improving overall repayment rates.
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.
