Quick Overview
Bank BRI implemented AI-driven credit scoring models leveraging agricultural and alternative data to assess credit risk for rural borrowers without formal credit histories. The system integrates crop yield patterns, market prices, and environmental data to provide accurate risk assessments, enabling faster loan approvals and better fraud detection.
Bank BRI (Bank Rakyat Indonesia)
Company Size
~60,000 employees
Revenue Range
$10B+ annual revenue
Primary Challenge
Extending financial inclusion by providing microloans to rural populations lacking formal credit histories
Key Metrics
\- Reduced loan processing time from 2 weeks to under 2 days\- 40% reduction in fraud rates\- Millions of rural borrowers served\- 62% increase in loan volume via digital apps\- 45% weekly loan disbursement growth on digital platforms
The Problem
Traditional credit scoring excluded rural borrowers due to lack of formal financial data, limiting financial inclusion and causing slow loan processing.
The Solution
Developed localized AI credit scoring models incorporating agricultural data (crop yields, market prices), environmental risks, and alternative data sources via mobile lending apps (Pinang, Ceria).
Results
\- Expanded microloan access to millions of rural borrowers\- Maintained low default rates\- Drastically reduced loan approval times\- Enhanced fraud detection and risk management\- Increased digital loan application volumes and disbursements
“Our AI-driven credit scoring model has revolutionized lending to rural communities, enabling financial inclusion at scale.”
Details
Industry
Finance & Banking
Departments
Finance & Accounting
Data & Analytics
Use Cases
Data Analysis
Tags
Machine Learning
Improved Accuracy
Time-Saving
Enhanced Decision-Making
AI Tools Used
No items found.
Sources
https://cdn.twimbit.com/uploads/2025/01/10140233/Reimagining-Credit-with-AI-1.pdfhttps://www.linkedin.com/pulse/ai-financial-inclusion-banking-unbanked-digital-age-patro-4fklchttps://asianbankingandfinance.net/retail-banking/exclusive/bri-employs-ai-brain-merge-its-digital-and-physical-presencehttps://www.ir-bri.com/newsroom/20250212_BBRI_Laporan_Informasi_dan_Fakta_Material_31861976_lamp3.pdfhttps://www.prweb.com/releases/bribrain-uses-ai-to-speed-up-loan-approvals-helps-more-msmes-survive-pandemic-875877231.html
More Case Studies
See All
How Snowdrop Uses Google Cloud AI and Geospatial Data to Improve Financial Transaction Data Accuracy and Matching
Finance & Banking
How Khan Academy’s Khanmigo AI Tutor Enhances Personalized Learning with GPT-4
Education & EdTech
How a Global Software Development Project Used an AI-Powered Chatbot to Enhance Communication and Delivery
Technology & SaaS
How Netflix Uses AI to Personalize Content Recommendations and Optimize Originals
Media & Entertainment
How SEB Wealth Management Uses Google Cloud AI to Enhance Client Interactions and Efficiency
Finance & Banking
How RE/MAX Uses AI to Personalize Property Recommendations and Improve Buyer Satisfaction
Real Estate