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Development of an Automated Loan Management System for SMEs
  1. case
  2. Development of an Automated Loan Management System for SMEs

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Development of an Automated Loan Management System for SMEs

instinctools.com
Financial services
Information technology
Business services

Challenges in Traditional SME Lending Processes

Existing loan approval processes for SMEs require 5-7 working days due to manual data entry, lack of automated credit scoring, and fragmented systems. This creates delays in invoice payments, reduces business efficiency, and increases operational costs while maintaining high security and compliance standards.

About the Client

A fintech startup specializing in digital lending solutions for small and medium-sized enterprises (SMEs)

Key Project Goals

  • Reduce loan approval time to under 15 minutes
  • Automate manual data entry processes
  • Implement unbiased credit scoring system
  • Ensure secure transactions and data privacy
  • Integrate with existing CRM and financial systems

Core System Capabilities

  • AI-powered document recognition for invoice processing (PDF/image support)
  • Real-time automated credit scoring system
  • Multi-currency transaction management
  • CRM integration (Salesforce) for client data synchronization
  • Secure loan application tracking dashboard
  • Automated financial commitment verification

Technology Stack Requirements

Node.js
MongoDB
AWS (S3, DynamoDB)
React
Redux
MaterialUI
Webpack
Babel

System Integration Needs

  • Rossum AI (document recognition)
  • Salesforce CRM
  • Payment gateway APIs
  • Multi-currency exchange APIs

Performance and Security Requirements

  • High-availability architecture (99.9% uptime)
  • Real-time processing latency <2 seconds
  • GDPR-compliant data encryption
  • Scalable infrastructure for 10x growth
  • Role-based access control (RBAC)

Expected Business Outcomes

Implementation of this system is projected to enable clients to capture 35-40% of their target market within 2-3 months post-launch, reduce operational costs by 60%, and achieve ROI within 6 months through automated processes. The solution will transform loan processing into a transparent, secure, and personalized experience while maintaining regulatory compliance.

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