In the newsFinBox AA reduces fraud by 45%

Automated bank statement analyser integrated with AA

Analyse bank statements and financial data with speed and razor-sharp precision. FinBox BankConnect - our bank statement analyser - comes with Account Aggregator (AA) for superior underwriting.

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Precise bank statement analysis

Actionable insights for accurate decisioning

Detect bank statement frauds and get insights on borrower salary, obligations, recurring expenses, and 500 more parameters.


The power of AI & ML ops, turbocharged with Account Aggregator

Our bank statement analyser combines Account Aggregator with proprietary algorithms
to provide enriched, clean data within seconds via an API call or a CSV report.

Multi-factor analysis

Assess multiple factors like payment histories, transaction habits, bank account balance, and credit

Reduce manual intervention

3x faster turnaround time with our zero-touch workflows

Multiple data streams

Pull data with Account Aggregator, statement upload, or net-banking

Catch more fraud

Eliminate fraud with 150+ inbuilt checks.

Optimise bank statement analysis

Verify before you trust

Our bank statement analyser inspects payment histories, account balances, spending hygiene, liabilities, and lots more. It's designed as a single API integration that brings together more than 300 lenders and gives you the confidence to lend more and lend better.

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Get the BankConnect Edge

40% more obligation detection

2x higher fraud detection

5x faster response time than competitors

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FinBox's bank statement analyser is the fastest way to improve your onboarding and underwrite at scale. Automate your bank statement analysis today!

Frequently Asked Questions

Have a specific question about bank statement analysis?

Some of the most common questions about bank statement analysers, answered

A. Yes, fake bank statements can be identified through a variety of methods. FinBox BankConnect identifies frauds through
1. Document fingerprinting that looks for tampering through cues in the metadata, font, date, the position of the text, account number, and account name.
2. Identification of accounting discrepancies by tallying starting, ending and running balances.
3. Identification of suspicious financial activity such as roundtripping of funds to temporarily inflate balances, and discrepancies in salary-related transactions.
4. Identification of transactional discrepancies like taxes deducted in multiples of 100, and RTGS transfers lower than the minimum threshold.


Helpful Resources

Curated insights from FinBox research desk to help you navigate the FinTech world!

Ready to launch

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