Automating Bottlenecks: Simplifying the SME Lending Process
When a major regional bank needed to digitize their legacy SME loan process, they brought us in to turn their concepts into reality. We validated their user flows through rigorous research before engineering the secure, automated system that transformed their lending pipeline.
Sector
Finance
Scope
User Research
Web Development
Problem & Solution
The Problem: Offline Bottleneck
For SMEs, cash flow is everything, but the bank’s business borrowers were routinely waiting 1 to 2 weeks (or longer) for loan decisions.
The entire process was weighed down by manual, paper-based workflows. Applicants had to fill out offline forms and physically submit them to a branch. From there, bank staff had to manually pull CTOS and CCRIS credit reports for every shareholder, validate the data against approval criteria, route it for underwriter sign-off, and manually draft decision emails. This labor-intensive process not only created massive delays but severely capped the bank’s lending capacity.
The Solution: Automated Loan Portal
We built a digitized, automated lending pipeline that transformed a heavy offline chore into a frictionless online experience. The new system handles the heavy data lifting so the bank’s team doesn't have to.
Fully Digital Onboarding
A digitized application process enabling seamless form filling and secure online submission for SMEs.
Integrated Credit Data Pulls
Direct CTOS and CCRIS integration lets staff instantly pull shareholder credit data with a single click.
Credit Rule Execution
Instantly applies the bank’s strict credit evaluation criteria directly to the pulled shareholder data
Smart Underwriter Dashboard
Automatically flags and highlights eligible cases to underwriters for final approval.
Touchless Communication
Auto-triggers approval or rejection emails to applicants without requiring manual intervention.
Results
21
Days
Wait Times Slashed to Days
Digitized intake and automated data handoffs slashed the total wait time for the customer from weeks to days.
0
errors
Zero Manual-Entry Errors
Automating data extraction and criteria checks virtually eliminated costly manual lookup and data-entry errors.
Empowered Underwriters
By automating data chores, underwriters now focus entirely on high-value risk analysis and advisory work.
The bank came to us with pre-designed screens and process flows. Instead of building blindly, we first conducted Usability Testing (UT) with actual SME owners. We validated the ideas against their real-world user base, ensuring the flow was intuitive before handing the blueprint over to our tech team for development.
Phase 2: Secure Architecture & Data Privacy
Working with financial institutions means navigating strict data security constraints. We couldn't send sensitive personal data (like IC numbers) directly through standard APIs. To solve this, our engineering team designed a secure tokenization approach: every application was assigned a unique ID that securely linked back to the IC, keeping data compliant and protected throughout the automated pipeline.
Phase 3: The "Watergile" Delivery
The bank operated in a highly traditional waterfall environment and lacked a dedicated Project Manager or Scrum Master on their side. To keep momentum, we adapted a hybrid of Waterfall and Agile "Watergile" approach. We integrated Agile practices into their corporate structure by hosting mini-demos every two weeks. This kept stakeholders constantly aligned, secured continuous buy-in, and prevented end-of-project surprises.
