BFSI — Collections

P2P Conversion Improvement for Retail NBFC

Multi-bucket collections transformation deploying AI-driven agent allocation and structured negotiation frameworks.

45%
P2P Conversion
↓25%
DPD Migration
3mo
Ramp Time
Collections AI Prioritisation NBFC

The Challenge

A retail-focused NBFC managing a ₹350Cr+ unsecured personal loan portfolio was experiencing deteriorating DPD migration across 30+, 60+, and 90+ buckets. Internal collections capacity was stretched and lacked structured escalation protocols, resulting in promise-to-pay conversions below industry benchmarks.

Our Approach

01

Deployed 60 dedicated agents segmented by bucket: early-stage calling, mid-bucket negotiation, and legal escalation specialists.

02

Built a propensity-to-pay model using 18 months of repayment history, contact reachability data, and demographic signals to prioritise daily dials.

03

Integrated directly with the client's LMS via API for real-time account status, payment confirmation, and disposition capture.

04

Implemented RBI Fair Practice Code-compliant call scripts, training modules, and QA scorecards with 100% call monitoring.

05

Weekly governance reviews with the client's collections head — tracking ROR, PTP rate, and DPD roll-forward in real time.

 Key Results
45%
Promise-to-Pay conversion rate within 90 days of deployment
↓25%
DPD migration across all buckets in Month 3
3 months
Full ramp to steady-state operations
99.2%
RBI Fair Practice Code compliance rate across all calls
"Ayuda's structured approach to segmentation and their compliance rigour gave us confidence to scale the programme across two more product lines."
— Collections Head, Retail NBFC
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