• VTP Altitude, Wakad, Pune, Maharashtra 411033, India

Loan officer reviewing a small-business loan application with the applicant
3 weeks → 48 hrs approval 62% first-time credit
  • Client:

    Community Trust Microfinance

  • Category:

    Finance & Banking

  • Services:

    AI/ML Solutions, Software Development, Cloud & DevOps

Finance case study

OpenLedger: Micro-Lending Platform

Community Trust Microfinance wanted to lend to small business owners that traditional banks routinely turn away — market vendors, home-based tailors, independent delivery drivers. We built OpenLedger, a mobile-first lending platform that scores creditworthiness from real cash-flow data instead of a credit history most applicants never had the chance to build.

00

hrs

Loan approval time, down from ~3 weeks

00

%

Borrowers with first-time formal credit

00

%

Lower default rate than industry benchmark

00

x

Loan book growth in twelve months

The problem this solves for society

Hundreds of millions of small business owners worldwide are shut out of formal credit simply because they have no paper trail a traditional bank recognizes — not because they're a bad credit risk. That gap pushes them toward informal lenders charging punishing interest, or forces them to shut down during a slow month they could otherwise have weathered with a short-term loan. Expanding who gets fair access to credit is directly tied to whether small businesses in underserved communities survive, grow, and hire.

The challenge of the project

Most applicants had no formal credit bureau file at all, so a conventional scoring model would reject nearly everyone by default. The platform needed an alternative-data underwriting model, automated KYC that works from a phone camera and a national ID, and disbursement fast enough to matter for a business that needs stock today, not in three weeks — all while staying compliant with lending and AML regulations.

OpenLedger Live
78

Cash-flow credit score

Working capital loan

$1,200 requested
Approved

KYC verified

ID + selfie match, 40 seconds

Cash-flow signals

  • Mobile money inflowSteady
  • Supplier paymentsOn time
  • Repeat customersHigh
AML-ready
  • Alternative-data credit scoring built from cash-flow and transaction history, not bureau records

  • Mobile-first application with automated KYC and document verification

  • Real-time underwriting engine with same-day approval decisions

  • Built-in AML and regulatory reporting so compliance scales with loan volume

The result of the project

Loan approval time dropped from roughly three weeks to under 48 hours. 62% of approved borrowers were receiving formal credit for the first time in their lives, and the platform's default rate came in 18% lower than the industry benchmark for underbanked lending — proof that better data beats a thin credit file. Community Trust's loan book grew 3x in twelve months without adding underwriting staff.

Before OpenLedger

~3-week manual approval

With OpenLedger

Under 48 hours, data-driven

Why choose this solution

Financial inclusion only works if the lending model is actually sound. Here's why OpenLedger holds up where generic loan software falls short.

  • Opens a legitimately underserved market segment without taking on outsized default risk

  • Cuts loan processing cost per application so smaller loan sizes stay profitable to serve

  • Regulatory and AML compliance designed in from the start, not patched on before an audit

  • Strengthens a lender's financial-inclusion story with real, auditable outcomes

More completed work

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