"Built an end-to-end loan approval system that reduced approval times from 7 days to 48 hours, decreased errors by 40%, and increased disbursements by 25%"
πΒ Summary
Lenders often face inefficiencies in managing loan approvals, leading to delays, errors, and poor borrower experience. This project aimed to build an Automated Loan Approval Management System that automates and streamlines the entire loan approval process from request submission to disbursement enhancing operational efficiency and decision-making.
π§ The Problem
Loan approvals were stuck in the past, relying on manual reviews, paperwork, and back-and-forth communication that caused:
β Delays exceeding 7 days β Customers were left waiting with no transparency.
β High error rates β Manual data entry led to frequent mistakes, requiring rework.
β Compliance risks β Inconsistent processes made regulatory adherence difficult.
β Poor customer experience β Borrowers faced uncertainty, lost opportunities, and frustration.
β Operational inefficiency β Loan officers were overwhelmed with paperwork instead of focusing on decision-making.
Lenders were losing potential borrowers, and customers were frustrated by the slow, outdated process. It was clear this system needed a complete overhaul.
π― The Goal
Automate and streamline the approval process to reduce delays, minimize human error, and improve customer satisfaction.
πΌ My Role
Product Manager + QA
I led the product strategy, coordinated with cross-functional teams, and executed the end-to-end QA process.
π§ Tools Used
Β·Figma Β· Linear Β· Miro Β· Google Sheets
π― My Key Contributions
Conducted interviews with loan officers and compliance stakeholders
Defined workflow logic, approval rules, and edge cases
Created wireframes and worked with the UX designer in Figma
Wrote test cases and led manual QA & UAT
Training and onboarding lenders to drive adoption.
Managed delivery via sprint cycles
β Impact
βRitaβs structured approach and QA discipline helped us go from a bottleneck-heavy process to one our team actually enjoys using.β
π Loan approval time slashed from 7 days to 48 hours.
β‘ 40% reduction in manual errors.
π 25% increase in loan disbursement volume within the first quarter.
Built an end-to-end loan approval system that reduced approval times from 7 days to 48 hours, decreased errors by 40%, and increased disbursements by 25%.