Essential capabilities that separate world-class LOS platforms from the rest.
A modern Loan Origination System must deliver on five critical dimensions. Miss even one, and you’re leaving money on the table. Get all five right, and you’ll process 100x more loans with 95% lower costs.
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Speed is the new competitive advantage in lending. Customers expect loan decisions in minutes, not days. A world-class LOS must deliver instant, automated credit decisions with minimal human intervention.
Speed is the new competitive advantage in lending. Customers expect loan decisions in minutes, not days. A world-class LOS must deliver instant, automated credit decisions with minimal human intervention.
Real-Time API Integrations: Connect to credit bureaus, KYC providers, bank statement analyzers with sub-second response times
Parallel Processing: Execute multiple verification checks simultaneously to minimize total processing time
Rule Engine: No-code decision rule builder for defining credit policies without developer involvement
ML Models: Machine learning models that predict default risk with 85%+ accuracy
Risk-Based Pricing: Automatically determine optimal loan amount, rate, and tenure for each applicant
Exception Routing: Smart routing of edge cases to human underwriters while auto-approving straightforward cases
Without Instant Decisioning:
NBFC processes 100 personal loan applications daily with 10 credit officers.
Each application takes 4 hours (document review, bureau pull, approval discussion).
Monthly throughput: 2,000 loans. Cost per loan: ₹800.
With Instant Decisioning:
Same NBFC processes 8,000 applications daily with 2 credit officers (handling only exceptions).
Each application processed in 3 minutes. Monthly throughput: 1,60,000 loans.
Cost per loan: ₹40.
Result: 80x volume increase, 95% cost reduction, 99.5% faster processing.
Fraud can destroy a lending business overnight. Industry average fraud rates are 5-8%, costing ₹5,000-8,000 per ₹1 lakh disbursed. A robust LOS must have intelligent fraud detection that catches 90%+ of fraud attempts without rejecting genuine customers.
Device Fingerprinting:
Track unique device identifiers to detect multiple applications from same device
Duplicate Detection:
Identify duplicate PAN, Aadhaar, mobile, email, bank account across applications
Location Intelligence:
Flag mismatches between GPS location, IP address, and KYC address
Velocity Checks:
Detect unusual application patterns (same person applying 10 times in a week)
Document Forensics:
AI detects fake, edited, or photoshopped documents with 95%+ accuracy
Behavioral Biometrics:
Analyze typing speed, mouse movement, time-on-field to detect bots and fraudsters
Face Match:
Verify selfie matches photo on ID documents using facial recognition
Network Analysis:
Build relationship graphs to identify fraud rings operating together
ML Fraud Scoring:
Ensemble machine learning models combining all signals into single fraud score
Scenario: Fintech lender disbursing ₹50 Cr monthly with 6% fraud rate losing ₹3 Cr annually to fraud.
After Multi-Layer Fraud Prevention:
Fraud rate drops to 0.8%, saving ₹2.6 Cr annually. Additionally, 15% improvement in portfolio quality as fraud detection catches risky customers that credit models miss.
ROI: ₹2.6 Cr annual savings for ₹20 lakhs annual investment in fraud tech = 13x return.
A LOS is only as good as the data it can access. Modern lending requires connecting to 20-30 different services (KYC, bureaus, bank statement analyzers, payments, e-sign, etc.). Building these integrations from scratch takes 12-18 months and costs ₹1-2 Cr. A world-class LOS comes with 300+ pre-built integrations ready to use.
KYC & Verification: Aadhaar eKYC, PAN verification, DigiLocker, face match, driving license, passport, voter ID
Credit Intelligence: CIBIL, Experian, Equifax, CRIF, bank statement analyzers, EPFO, GST verification
Fraud & Risk: Device fingerprinting, document forensics, duplicate detection, SIM age check
Payments: Razorpay, Cashfree, PayU, BillDesk for disbursements and collections, UPI, IMPS, NEFT
E-Sign & Stamping: NSDL e-sign, Digio, Leegality, SHCIL e-stamping
Communication: SMS gateways, email services, WhatsApp Business API, voice calling
Accounting: Tally, QuickBooks, Zoho Books, SAP, Oracle integrations
Data Sources: Account Aggregator, GST portal, MCA portal, telecom data
Building 30 Custom Integrations:
2 developers × 12 months × ₹15L annual cost = ₹30L + ongoing maintenance ₹10L annually.
Timeline: 12 months. Risk: High (integration failures, API changes).
Using Pre-Built Integrations:
₹0 upfront cost (included in LOS subscription). Setup: 5–7 days. Maintenance: ₹0 (vendor handles updates).
Risk: Low (battle-tested integrations with 99.9% uptime).
Savings: ₹30L upfront + ₹10L annually. Time saved: 11.5 months faster go-live.
Market conditions change. Regulations evolve. Competitors launch new products. Your LOS must enable business users to adapt instantly without waiting for IT. No-code configuration separates agile lenders from dinosaurs.
Product Configuration: Define loan products (amounts, tenures, rates, fees) via visual forms without coding
Workflow Builder: Drag-and-drop workflow designer for creating custom loan journeys
Rule Engine: Visual rule builder for credit policies using IF-THEN logic
Form Builder: Create custom application forms by adding/removing fields
Document Templates: Design loan agreement templates with dynamic fields
Communication Templates: Create SMS, email, WhatsApp templates with personalization
Report Builder: Build custom reports and dashboards without SQL
A/B Testing: Test multiple product/policy variations without developer involvement
Situation: RBI announces new digital lending guidelines requiring additional disclosures in loan agreements.
Implementation deadline: 30 days.
With Code-Based LOS: Open development ticket → developer updates code → QA testing → UAT → production deployment.
Timeline: 3-4 weeks. Cost: ₹2–3 lakhs. Risk: High (rushed changes may have bugs).
With No-Code LOS: Product manager updates agreement template in 30 minutes → preview → publish.
Timeline: Same day. Cost: ₹0. Risk: Zero (no code changes).
Competitive Advantage: Comply on day 1 while competitors scramble for weeks.
You can’t improve what you don’t measure. A world-class LOS provides real-time visibility into every aspect of your loan origination process – conversion rates, approval rates, portfolio quality, staff productivity, and profitability.
Application Funnel: Track conversion at every stage from landing to disbursement
Approval Metrics: Monitor approval rate, rejection rate, pending rate by product, channel, segment
TAT Analysis: Measure turnaround time at each process step to identify bottlenecks
Credit Policy Performance: See impact of policy changes on approval rate and risk profile
Portfolio Vintage: Track loan performance by origination cohort to spot early warning signs
Channel Attribution: Understand which channels drive volume and quality
Staff Productivity: Monitor applications processed, queue sizes, SLA compliance per user
Revenue Analytics: Calculate profitability by product, channel, customer segment
Fraud Analytics: Track fraud attempts, catch rates, false positive rates
Custom Reports: Build ad-hoc reports for specific business questions
Discovery: Real-time dashboard shows 45% of applications drop off at document upload stage.
Hypothesis: Too many documents requested upfront causing friction.
Action: A/B test requesting only 2 documents initially vs 6 documents.
Analytics show 2-document flow has 78% conversion vs 45% for 6-document flow.
Impact: Implement 2-document flow. Monthly applications increase from 10,000 to 17,300 (73% increase) with same marketing spend.
Result: ₹2.5 Cr additional revenue per month from single optimization discovered via analytics.
Roopya is purpose-built to excel at all five critical dimensions. Here’s how we stack up:
95%+ automation, sub-30 second decisions, 10K+ applications daily
9-layer detection, reduce fraud from 8% to under 1%
300+ integrations ready to use, go live in 5–7 days
Launch products in 2 hours, change policies in 15 minutes
50+ dashboards, ML-powered insights, custom reports