Building a 360° Credit Intelligence Platform for MSME Lenders

About the client

The client is an India-based FinTech company serving commercial MSME lenders and small businesses with tools for credit assessment, borrower health monitoring, and lending opportunity discovery. Trusted by over 50 banks and NBFCs, the platform has facilitated more than 15,000 MSME loan application approvals. With a data-intensive, web-based architecture, the client needed an engineering partner to build a scalable data ingestion and processing layer that could unify fragmented borrower data sources.

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Problem Statement

MSME lenders were making credit decisions without a complete picture of the borrower. Data lived across disparate systems with no unified ingestion layer to bring it together. Without real-time health monitoring and a structured data foundation, lenders were operating blind at the exact moment decisions mattered most.

Challenge

Key data, infrastructure, and operational gaps identified across the platform.

Fragmented Borrower Data Across Multiple Sources
Data was distributed across API integrations, FTP transfers, and bulk uploads with no standardized ingestion mechanism, making a unified borrower view impossible.
No Real-Time Borrower Health Monitoring
The platform lacked continuous post-disbursement monitoring, leaving lenders without early signals for deteriorating credit quality.
No Structured Data Layer for ML and Analytics
Raw data was not normalized or warehoused in a format suitable for credit scoring, risk modelling, or analytical reporting.
No Early Warning or Case Management System
There was no automated mechanism to flag at-risk accounts. Exception and restructuring workflows were entirely manual.
Incomplete Financial Intelligence
GST, EPF, IT filings, and cap table data were not surfaced in a usable format, limiting the depth of credit assessment for MSME and proprietorship borrowers.

Solution

Pace Wisdom built a unified platform consolidating borrower data from all sources, enabling real-time credit assessment and proactive risk management for MSME lenders.

Multi-Source Data Ingestion Layer
Engineered a standardized ingestion pipeline supporting API, FTP, and bulk upload channels, normalizing all inputs into a central data warehouse.
Holistic Credit Assessment Engine
Built a borrower profiling module combining enhanced credit reports, alternate risk scoring, and trust score reports for complete 360-degree MSME borrower assessments.
Real-Time Borrower Health Monitoring
Implemented continuous monitoring tracking post-disbursement borrower health across GST, EPF, and IT filing data to surface live financial signals.
Early Warning System and Case Management
Deployed an automated early warning system flagging deteriorating borrower profiles, paired with a structured case management module for lenders handling at-risk accounts.
Structured Data Layer for Analytics
Designed a clean data mapping and storage architecture enabling the client's data science team to build and deploy credit risk models on a reliable data foundation.

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Technology used

API-first integrations, cloud-hosted data warehouse, and structured ETL pipelines for real-time financial data processing.

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Impact

Measurable outcomes from building a unified credit intelligence platform.

50+

Banks and NBFCs Onboarded

15,000+

MSME Loan Applications Approved on Platform

3x

Faster Borrower Assessment with Unified Data View

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