Bank transactions tell the real story of a business. But for credit teams, analysing raw monthly PDF statements is messy and painful.
Lenders push for Open Banking because the structured data is easier to underwrite. The problem? Most SME borrowers absolutely hate it. They fiercely protect their live banking data.
When lenders force an Open Banking connection, it creates frictions and cause good businesses to abandon the application. But if the lender accepts raw PDF bank statements, their underwriting team drowns in manual data entry which delay decisions by days.
It’s a lose-lose scenario: as a lender, you either sacrifice conversion rate or operational speed.
Today, we're launching our proprietary Bank Statement Analysis feature to fix that!
We built a deterministic AI workflow that ingests the raw, messy PDFs that borrowers send, and instantly outputs the Open Banking-grade, structured data that underwriters need. We've trained it specifically to understand the chaotic language of banks, the hidden intermediaries, complex statement types, obscure merchant codes, and decompose transaction IDs.
What this means for lenders:
➡️ Zero Borrower Friction: Let them upload the PDFs they trust
➡️ Zero Manual Data Entry: Keep analysts out of Excel and focused on risk.
➡️ Instant Categorization: Deterministic, accurate merchant and cashflow tagging.
➡️ Deep Signal analysis: Spot seasonality, revenue concentration, and fixed vs. variable costs in seconds.
➡️ Instant Cash flow underwriting: Underwriting driven by real-time, ground-truth data, not just self-reported financials.
To Try it, Book a Demo here https://calendly.com/drey-crediflow-intro/30min