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AI-Enabled Loan Origination for NBFC

Discover how Synaptron's AI-driven loan origination solution empowered an NBFC—automating onboarding, enhancing credit decisions, and accelerating loan approvals seamlessly.

Executive Summary

Lending Intelligence

A leading non-banking financial company (NBFC) partnered with a global System Integrator (SI) to digitize and streamline its loan origination process across personal loans, SME lending, and two-wheeler financing. Synaptron was brought in as the specialized AI and platform delivery partner, providing domain-aligned developers, data engineers, and ML consultants.

Through this joint engagement, Synaptron developed and supported an AI-powered loan origination and document automation engine, delivering:

    This solution now powers paperless, real-time credit decisioning across 4 lending categories for the NBFC.

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    65% faster loan application processing

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    80% automation in document verification

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    30% improvement in onboarding conversion rates

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    Full auditability and compliance with RBI digital lending guidelines

      This solution now powers paperless, real-time credit decisioning across 4 lending categories for the NBFC.

      Challenge

      High Application Volumes, Fragmented Verification, and Manual KYC Bottlenecks

      As the NBFC expanded into semi-urban and digital-first customer segments, it faced key bottlenecks in scaling:

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      Application Spikes Delayed Processing and Conversion

      Application overload during monthly campaigns led to delayed processing and lost leads

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      Manual Document Checks Slowed Verification

      Manual document checks (ID, income proof, utility bills, bank statements) increased human error and verification delays

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      KYC Inconsistencies Triggered Compliance Issues

      KYC inconsistencies across channels (branches, DSAs, digital onboarding) caused compliance flags

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      High Drop-Offs from Long TAT and Poor Communication

      Poor lead-to-loan conversion due to long TAT and unclear status communication to applicants

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      Limited Risk Visibility for Underwriters Pre-Disbursement

      Limited visibility for underwriters into risk indicators before disbursement

      The business needed a robust, AI-first platform to digitize intake, validate submissions, and reduce reliance on manual touchpoints—without compromising risk governance.

      Solution

      Loan Origination Automation – Engineered by Synaptron via SI Partner

      Working under the SI’s digital lending transformation program, Synaptron deployed a team of specialists who co-developed and operationalized the core components of the automation platform.

      Modules Developed and Managed by Synaptron:

      Digital Application Interface

      • Omnichannel forms for customer, DSA, and branch-led onboarding
      • Integrated with credit bureau APIs, Aadhar EKYC, and PAN validation tools

      AI-Based Document Verification Capsule

      • OCR & ML models extracted fields from ID proofs, salary slips, and bank statements
      • Liveness detection and facial match with selfie for fraud prevention
      • Contextual rules triggered red flags for tampered or low-quality scans

      Rule-Driven Credit Scoring Framework

      • Dynamic scoring engine consuming bureau score, income-to-loan ratio, location risk flags, and profile completeness
      • Automated routing to approval, manual review, or rejection buckets

      Agent Dashboard and Workflow Tracker

      • DSAs and underwriters tracked each case’s status, missing docs, risk flags, and TAT SLAs
      • System auto-escalated stuck files and sent reminders to applicants or sourcing agents

      Compliance & Audit Layer

      • All verification steps, overrides, and decisions logged with timestamps
      • Data masking and retention policies aligned with RBI’s digital lending regulations

      Outcome

      Digitized Credit Operations with Embedded Intelligence

      Delivered jointly through the SI and Synaptron teams, the platform achieved:

      • 65% Reduction in Processing Time: Personal and SME loan files processed in <2 hours, down from 6–8 hours average
      • 80% Straight-Through Document Processing: AI verified most applications without human input, with a fallback queue for edge cases
      • 30% Higher Lead-to-Loan Conversion: Faster decisions and better applicant communication led to more completions
      • Reduction in KYC and Onboarding Errors: Facial match and real-time validations reduced rejections at disbursement stage
      • Improved Credit Risk Visibility: Early-stage decision flags and scoring transparency enabled better portfolio control

      Future

      Expanding AI-Driven Lending Across New Channels

      Synaptron continues to support the SI in building additional capabilities for the NBFC’s lending roadmap:

      • Voice-Assisted Onboarding for underserved and low-literacy customer segments
      • AI-Driven Cross-Sell Models based on applicant behavior and transaction history
      • Voice-interface Real-Time Fraud Monitoring Dashboards integrating signals from underwriting, collections, and repayments
      • Integration with India Stack (Account Aggregator, DigiLocker) to enable full-paperless MSME lending
      • Disbursement Automation with Smart Contracts on eligible financing schemes