Modern micro-lending platforms process loan applications in under 90 seconds by orchestrating event-driven data pipelines, regulatory-compliant KYC automation, and machine learning-powered underwriting. For a typical ₹1,000 instant loan, the system ingests user consent signals, validates identity through API federations, parses alternate data sources, computes risk scores, and triggers bank disbursals via account aggregator frameworks.
System Architecture Overview
The reference architecture follows a hexagonal design with clear separation between ingestion, processing, decision, and fulfillment layers. Apache Kafka serves as the backbone for real-time event streaming, while Kubernetes-orchestrated microservices handle individual concerns. All components maintain audit logs in immutable storage to satisfy RBI guidelines on digital lending.
Data flows begin when a user authenticates through the mobile app using OAuth 2.1 and grants explicit consent via Account Aggregator (AA) frameworks like Finvu or OneMoney. This consent triggers a cascade of events across secured channels.
Real-Time Data Pipelines
