Automated transaction matching with digital and document transaction data

Automate underwriting & post-funding analytics with Ocrolus’ newest features

Manual transaction matching is a thing of the past. Discover how Ocrolus’ new Docs-to-Digital Transaction Matching and Post-Funding Analytics streamline underwriting, fraud detection and portfolio management—all while saving you time and effort.

Key takeaways

• Docs-to-Digital Transaction Matching eliminates the need for manual verification of bank statements against digital data sources like Plaid, ensuring faster and more accurate underwriting.
• Post-Funding Analytics provides ongoing cash flow insights throughout a loan’s lifecycle, enabling lenders to make proactive renewal and collection decisions.
• Automating transaction matching can save underwriters 30+ minutes per file, freeing them up for strategic decision-making.
• Ocrolus’ analytics seamlessly integrate with your Loan Origination System (LOS), eliminating unnecessary manual work.
• The beta program is now open! Join today to get early access and provide valuable feedback.

Eliminate manual matching & improve lending accuracy

Lenders today face growing challenges in verifying financial data efficiently. As fraudsters become more sophisticated, traditional document review processes are time-consuming and prone to errors.

Ocrolus’ new Docs-to-Digital Transaction Matching solves this problem by automatically comparing borrower bank statements with real-time digital bank data. Instead of manually sifting through hundreds—or even thousands—of transactions, underwriters receive an instant match verification or discrepancy alert, allowing them to confidently approve or deny funding.

But what happens after the loan is funded? Post-Funding Analytics gives lenders ongoing visibility into a borrower’s cash flow—whether their revenue is growing, their risk profile is changing, or they’ve taken on new debt. With up-to-date transaction data, lenders can:

• Identify borrowers who are ideal for early renewals
• Spot overdraft risks or loan stacking before it becomes a problem
• Monitor financial health and optimize portfolio performance

These automation tools aren’t just about efficiency—they provide deeper financial insights, improve decision-making and reduce risk.