Case Study: Revolutionizing MSME Lending & Branch Operations for a Leading PSU Bank
Client Overview
One of India’s top public sector banks, with a vast MSME lending division and an extensive branch network, sought to overhaul its document-heavy operations. The bank needed a scalable, AI-driven solution to eliminate manual processing, accelerate loan approvals, and enhance efficiency in MSME lending.
Following a competitive RFP process, the bank selected Cygnet.one, with Glib.ai as its strategic AI partner, to deploy an Intelligent Document Processing (IDP) solution tailored to its needs.
Key Business Challenges
The bank’s legacy processes led to bottlenecks, inefficiencies, and compliance risks:
?? Overwhelming Document Volumes Processing 100,000+ financial documents annually, including bank statements, tax returns, and GST filings, required massive manual effort, slowing operations.
?? Manual-Heavy Workflows & Errors Extracting key data from unstructured documents was time-consuming and prone to human errors, impacting compliance, credit risk assessment, and operational costs.
?? Delayed MSME Loan Processing Traditional methods resulted in sluggish credit assessments, increasing Turnaround Time (TAT) and leading to customer dissatisfaction and lost business.
?? The Need for Straight-Through Processing (STP) To maintain competitiveness, the bank required end-to-end automation, eliminating manual intervention and ensuring faster, more accurate decision-making.
Glib.ai’s AI-Driven Solution: Intelligent Document Automation for Seamless MSME Lending
Glib.ai redefined the bank’s MSME lending and branch workflows with a cutting-edge AI-powered IDP solution:
? AI-Powered Document Processing ?? Intelligent OCR + NLP technology for automated data extraction from bank statements, tax returns, and GST filings. ?? Real-time validation of extracted data to enhance accuracy & ensure compliance.
? End-to-End Straight-Through Processing (STP) ?? Eliminated manual intervention across MSME lending workflows. ?? Cut loan processing times by 60%, accelerating loan disbursements.
? Human-in-the-Loop (HITL) Exception Handling ?? Integrated HITL model for quality control, ensuring high accuracy in flagged transactions.
? Scalability & Security Compliance ?? Designed for high-volume processing, enabling effortless scalability without increasing workforce dependency. ?? On-premises deployment, ensuring regulatory compliance with data privacy & security standards.
AI-Powered MSME Loan Processing Flow
Results & Impact: Transforming Lending Efficiency
?? 70% Faster Processing ?? AI-powered automation drastically reduced loan approval times, delivering a seamless MSME lending experience.
?? 99%+ Data Accuracy ?? AI-driven validation eliminated manual errors, improving compliance & risk assessment.
?? 42% Cost Reduction ?? Lower operational costs by eliminating redundant manual efforts & optimizing resource utilization.
? Scalable for Future Growth ?? The solution enabled the bank to process growing document volumes seamlessly, without added costs.
Conclusion: A New Era of AI-Powered Banking
By adopting Glib.ai’s AI-driven document automation, this leading PSU bank has successfully modernized its MSME lending operations—faster loan approvals, regulatory compliance, and scalable automation are now a reality.
?? Want to optimize your bank’s financial document processing? Contact Glib.ai today to see how AI-powered automation can transform your operations!
?? Join the AI revolution in banking! Let’s build smarter, faster, and more efficient lending processes together.
?? Connect with us: (more case studies: https://glib.ai/case-studies/)
Email: [email protected]
Website: www.glib.ai
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