CART — Credit Intelligence

Account Aggregator
Based Underwriting

CART integrates seamlessly with India's Account Aggregator framework to enable real-time, consent-driven financial data access — transforming credit assessment for digital-first and underserved borrower segments.

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RBI

AA Framework Compliant

Real-time

Data Access

100%

Consent-based

NTC Ready

New-to-Credit Segments

The Problem

Why Existing Approaches Fall Short

Manual processes, fragmented tools, and legacy systems create compounding inefficiencies that limit speed, accuracy, and risk visibility.

Paper-Based Document Collection Creates Friction

Requiring physical bank statements, ITR, and payslips adds days of delay to the lending journey — driving borrower drop-off and limiting digital-first strategies.

Document Fraud is Difficult to Detect

Self-submitted bank statements and financial documents can be tampered. Traditional document collection provides no technical tamper-evidence guarantee.

Under-Served Segments Lack Formal Documents

Millions of creditworthy borrowers — gig workers, farmers, informal sector workers — cannot produce standard financial documents despite having stable income and cash flows.

Slow Financial Data Reconciliation

Manual data entry from collected documents into underwriting systems introduces errors and delays — even when the borrower is cooperative and documents are genuine.

Document-Based Underwriting Limitations

Physical statement collection takes 2–5 days

Tampered statements pass unchecked

Informal income groups excluded from credit

Manual data entry from documents to systems

No real-time financial position view at decisioning

GDPR/privacy-unfriendly document handling practices

How It Works

How CART Leverages Account Aggregator for Underwriting

A consent-first, API-native workflow that replaces document collection with real-time financial data — fully RBI AA framework compliant.

Step 01

Consent Request

CART initiates a structured AA consent request defining the scope — accounts, data types, time range, and purpose — that the borrower approves on their AA app.

Step 02

Real-Time Data Pull

Upon consent, CART pulls structured financial data from linked FIPs — bank accounts, mutual fund holdings, insurance policies, and securities — in real time.

Step 03

Data Normalization

Raw AA data — in NBFC-AA-specified formats — is normalized, enriched, and transformed into credit-ready financial profiles compatible with CART analysis modules.

Step 04

Cash Flow & Income Analysis

Same CART analysis pipeline applied to AA data — income profiling, obligation detection, balance behavior analysis, and cash flow scoring.

Step 05

Credit Decision

AA-derived financial analysis feeds into the credit decisioning engine — enabling instant, consent-based credit assessments without document upload.

Step 06

Consent Lifecycle Management

CART manages consent expiry, renewals, and revocations — maintaining AA consent compliance throughout the credit lifecycle.

Key Capabilities

AA-Based Underwriting Capabilities

Multi-AA Connectivity

Integrated with all RBI-registered Account Aggregators — enabling borrowers on any AA to share data without lender-side AA preference restrictions.

FIP Coverage

Supports data from all major Financial Information Providers — scheduled banks, NBFCs, depositories, SEBI-regulated entities, and insurance companies.

Consent Management Dashboard

Real-time visibility into all active consents, their scope, expiry status, and data access history — for compliance and audit.

AA + Statement Hybrid Analysis

Combine AA data with traditional bank statements for borrowers who provide both — creating more complete credit files.

NTC Segment Scoring

Purpose-built scoring models for New-to-Credit borrowers using AA cash flow data as the primary credit signal when bureau history is thin.

Recurring Data Access

Configure recurring data pulls for existing borrowers — enabling continuous monitoring of financial health during the loan tenure.

Regulatory Compliance Controls

Full compliance with RBI AA ecosystem guidelines — consent logs, data retention policies, and purpose limitation controls built into the platform.

Cross-Lender Data Aggregation

View financial data across multiple institutions simultaneously — building a comprehensive multi-bank financial profile in a single underwriting pass.

Business Impact

Measurable Outcomes for Your Institution

Our customers report consistent improvements across turnaround time, accuracy, operational efficiency, and risk management.

2 min

Document Collection to Analysis

Real-time AA data replaces multi-day physical document collection

100%

Tamper-Proof Data

Cryptographically signed AA data eliminates document fraud risk

35%

More Borrowers Reached

Serve segments that lack formal documents but have demonstrable cash flows

Zero

Manual Data Entry

Structured AA data flows directly into analysis pipeline without human transcription

Who It's For

Built for the Teams That Matter Most

Designed with input from practitioners across credit, risk, operations, compliance, and technology functions.

Digital Lending Teams

Build fully digital, paperless lending journeys with AA-based financial data at the core.

Financial Inclusion Units

Extend credit to underserved segments using cash flow data when formal documents are unavailable.

Credit Risk Teams

Access higher-quality, tamper-proof financial data for more reliable credit assessment.

Compliance & Legal Teams

Maintain RBI AA framework compliance with built-in consent management and audit controls.

Product & Technology Teams

Integrate AA-based underwriting into digital lending products via clean APIs.

Fintech Lending Platforms

Enable embedded lending with consent-based financial data — no document upload friction for borrowers.

Use Cases

Real Scenarios. Practical Results.

How financial institutions apply this solution across their business operations.

Use Case 01

Instant Pre-Approved Loan Offers

Use AA data on existing digital banking customers to generate pre-approved loan offers with real-time financial position data — without any document collection.

Pre-Approved LoansDigital BankingBanks

Use Case 02

Gig Worker Credit Assessment

Build income and cash flow profiles for platform gig workers using AA bank account data — enabling credit for segments previously excluded from formal credit.

Gig EconomyFinancial InclusionNBFCs

Use Case 03

MSME Instant Credit

Assess MSME creditworthiness using real-time business account data — GST-linked accounts, current account flows, and overdraft utilization — for instant working capital credit.

MSMEWorking CapitalInstant Credit

Use Case 04

Student Loan Assessment

Evaluate family financial profiles for education loans — current accounts, savings, and investment holdings — via AA data sharing.

Education LoansStudent Finance

Use Case 05

Mortgage Pre-Qualification

Quick mortgage pre-qualification using AA bank statement data — income verification and obligation mapping in minutes, not days.

Home LoansMortgageHFCs

Use Case 06

Loan Renewal Underwriting

Re-underwrite borrowers at renewal using fresh AA data consent — ensuring credit decisions reflect current financial position.

Loan RenewalPortfolio Monitoring

Explore Connected Capabilities

These solutions work alongside this one to deliver a more complete, end-to-end workflow for your institution.

FAQs

Frequently Asked Questions

What is the Account Aggregator framework?

The Account Aggregator (AA) framework is an RBI-regulated data-sharing ecosystem that allows individuals and entities to share their financial data — with explicit consent — between financial institutions. It is built on the DEPA (Data Empowerment and Protection Architecture) framework and governed by the RBI's AA Master Directions.

Is AA data secure and tamper-proof?

Yes. AA data is digitally signed by the Financial Information Provider (FIP) — the source institution. Any tampering with the data payload invalidates the cryptographic signature, making AA data verifiably tamper-proof.

What types of financial data can be accessed via AA?

Currently, AA supports bank deposit accounts (savings, current, FD, RD), bank statement data, mutual fund and securities holdings, insurance policy details, pension data, and NPS accounts. Coverage expands as new FIPs integrate with the AA network.

Does the borrower have control over what data is shared?

Yes. The borrower must explicitly consent to each data-sharing request — specifying the data types, time period, purpose, and consent validity. They can view all active consents and revoke them at any time via their AA app.

How does CART handle AA data for ongoing loan monitoring?

CART supports recurring consent for continuous data access — enabling lenders to periodically refresh financial data for existing borrowers. This powers early warning signals and ongoing credit monitoring without requiring borrowers to re-submit documents.

Account AggregatorBased Underwriting