Fintech Ki Baat
Fintech Ki Baat
by Shreyas Jani
Inside India's Trillion Dollar Collections Problem | Ananth Shroff, Founder & CEO, DPDzero
37 minutes Posted Aug 20, 2026 at 8:51 am.
– Introduction: what DPDzero does1:19 – What actually happens when a borrower misses an EMI2:48 – The scale of the problem: $1 trillion in retail credit, 2 lakh+ collection agents4:16 – The real problems: cost, compliance, and abuse7:38 – DPDzero's approach: a collections stack banks can integrate into8:48 – Agency workflow vs DPDzero workflow: Excel sheets vs 70 data points12:32 – The allocation model: deciding human vs AI treatment13:02 – The AI collection agent: voice, WhatsApp, and beyond14:07 – From 1 human per 100 borrowers to 1 per 30014:35 – The agent copilot: how human agents are enabled by AI18:19 – How much can AI alone convert, and where humans take over20:07 – Reducing bounce rates with 100% AI intervention21:34 – Defining the ideal collection system: why they call agents "advisors"22:53 – Borrower personas: intentional, circumstantial, and escapist defaulters27:09 – Why brand reputation now matters more than ever in collections29:34 – The logistics industry parallel: how collections will consolidate33:15 – The next 5 years: staying ahead by disrupting yourself first🎙️ Chasing Impact covers six sectors shaping the next decade of India: Fintech, AI, Climate, Mobility, HealthTech, and Defence.🔔 Subscribe for a new episode every week.🌐 chasingimpact.in
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India has disbursed a trillion dollars in retail credit. Some of it doesn't come back on time. And the system built to collect it runs on thousands of agencies, two lakh-plus agents, and, far too often, abuse.Ananth Shroff walked into a collections agency early in his research and heard it firsthand: agents hurling abuse at borrowers who simply hadn't paid on time. That moment shaped what DPDzero became, a full-stack AI-powered collections platform built to deliver the same efficiency banks get from agencies, minus the compliance risk and the harassment.In this Dhandhe Ki Baat segment, Ananth breaks down exactly how the system works: how DPDzero profiles borrowers using 60 to 70 data points, why their AI agent now handles what used to take one human per 100 borrowers (now one per 300), how personas like "circumstantial defaulters" and "escapist defaulters" get treated differently, and why he believes brand reputation, not just compliance, is what will force this industry to change.⏱️ Timestamps:0:00 – Introduction: what DPDzero does1:19 – What actually happens when a borrower misses an EMI2:48 – The scale of the problem: $1 trillion in retail credit, 2 lakh+ collection agents4:16 – The real problems: cost, compliance, and abuse7:38 – DPDzero's approach: a collections stack banks can integrate into8:48 – Agency workflow vs DPDzero workflow: Excel sheets vs 70 data points12:32 – The allocation model: deciding human vs AI treatment13:02 – The AI collection agent: voice, WhatsApp, and beyond14:07 – From 1 human per 100 borrowers to 1 per 30014:35 – The agent copilot: how human agents are enabled by AI18:19 – How much can AI alone convert, and where humans take over20:07 – Reducing bounce rates with 100% AI intervention21:34 – Defining the ideal collection system: why they call agents "advisors"22:53 – Borrower personas: intentional, circumstantial, and escapist defaulters27:09 – Why brand reputation now matters more than ever in collections29:34 – The logistics industry parallel: how collections will consolidate33:15 – The next 5 years: staying ahead by disrupting yourself first🎙️ Chasing Impact covers six sectors shaping the next decade of India: Fintech, AI, Climate, Mobility, HealthTech, and Defence.🔔 Subscribe for a new episode every week.🌐 chasingimpact.in