Data Exchange Ecosystems
Enabling secure, consent-driven data flows to power responsible credit and customer experiences
L&T Finance builds secure data exchange ecosystems that balance privacy, consent, and practical utility. Our architecture aligns with Indian open finance frameworks such as Account Aggregator (AA) and Data Empowerment and Protection Architecture (DEPA), ensuring borrower data is shared only with explicit consent and used strictly for credit enhancement and customer benefit.
Advanced Technology Groups
L&T Finance is implementing secure, consent-driven data exchange in alignment with the Account Aggregator and DEPA frameworks. These frameworks enable consumers to share financial data with their explicit consent, minimizing intermediated data transfers and maintaining an auditable consent trail.
Practical benefits:
- Faster underwriting via verified financial statements and bank statements pulls through AA integrations.
- Stronger data governance and auditability, reducing regulatory and operational risk.
- Better customer experience by eliminating manual document collection for digitally-savvy borrowers
To improve credit access for thin-file and new-to-credit customers, we ingest and analyze alternate data streams such as utility payments, telecom usage, mobile app metadata, and digital transaction footprints. These signals enrich borrower profiles and improve model coverage and discrimination where traditional bureau data is sparse.
Capabilities and use-cases:
- Utility bill and recurring payment patterns as proxies for repayment reliability.
- Telecom and device metadata for behavioral segmentation and stability signals.
- Bank statement cashflow analytics for better affordability estimates.
Our onboarding stack integrates PAN and Aadhaar verification, bank statement analysis, and face-match APIs, layered with AI-based fraud detection. We partner with specialized vendors for document OCR, liveness/deepfake detection, and automated bank statement parsing to reduce manual review and onboarding time while preventing identity fraud.
Typical integrations:
- PAN / Aadhaar validation and masked-data flows.
- Automated bank statement ingestion and cashflow-based scoring.
- Face-match and anti-spoofing checks for remote KYC
We maintain scorecards for sourcing partners and DSAs that track disbursal quality, vintage delinquency, verification pass-rates, and fraud hit rates. These scorecards enable data-driven partner calibration, rewarding high-quality sourcing and enabling targeted retraining or detachment of underperforming channels.
Key metrics tracked:
- Disbursal-to-default ratios and vintage-level PDs
- Fraud incidence per 1,000 disbursals
- Verification turnaround time and document rejection rates
Featured Projects
Data-driven Partner Governance
Continuous Monitoring of Sourcing and Verification Quality
Fast, Secure Customer Onboarding
Real-time KYC, Liveness, and Document Forensics
Enriching Thin-file Borrower Profiles
Utility, Telecom & Transaction Signals for Credit Inclusion
