From Manual Mayhem to Digital Mastery:
The Evolution of a Leading NBFC in MLAP

Reengineering MLAP Lending for the Next Decade

A fast-growing NBFC managing ₹6,500 crore in assets was struggling to scale its Micro Loan Against Property (MLAP) operations.

Manual underwriting, paper-based documentation, and week-long approvals limited growth and customer trust in a segment expanding 14% year-on-year.

That’s when ezee.ai stepped in.

From Legacy Complexity to Real-Time Credit Decisions

With ezee.ai’s AI-powered no-code Loan Origination Platform, the NBFC rebuilt its MLAP journey from scratch into a seamless, automated ecosystem.

Disbursals that once took days now close in under 15 minutes.

Approval rates hit 99%, manual intervention dropped 90%, and risk assessments became instantaneous through real-time API integrations with over 55 services.

What once required paper and patience now runs on intelligence and automation.
What once took a week now takes a coffee break.

Inside the Transformation

This case study reveals how:

• The NBFC achieved a 400% increase in borrower onboarding volume, expanding its reach and market penetration.

• Loan approval accuracy reached 99%, ensuring faster, data-backed decisions for qualified applicants.

• Manual work and processing errors were reduced by 90%, creating a streamlined, error-free lending workflow.

• 45+ API integrations enabled real-time eligibility and risk assessments, connecting every stage of the credit journey.

• Lead-to-loan conversion efficiency improved by 35%, turning more prospects into satisfied borrowers.

This transformation didn’t just accelerate approvals—it redesigned how credit flows in India’s secured lending ecosystem, blending speed, intelligence, and compliance into one seamless operation.

Download the Full Case Study

Learn how this NBFC leveraged ezee.ai to cut turnaround times to minutes and set a new benchmark in AI-driven lending efficiency.