In B2B lending, relying solely on static credit reports and tax returns doesn’t always provide a complete picture of the borrower. These “lagging indicators” provide only a partial view of where a business has been, but they lack a complete picture of where it is going, especially in fast-moving B2B industries like SaaS or professional services.
Cash flow underwriting offers a more complete picture, helping lenders better assess risk and make smarter decisions. Real-time cash flow data, directly sourced from an applicant’s bank account, enables lenders to take a granular, predictive approach to risk assessment and loan decisioning.
Below, we’ll explain:
- How lenders can integrate cash flow data into their underwriting process.
- How to use cash flow data for deeper assessments.
- Creating a ‘living risk profile’ using real-time cash flow data for both loan applicants and active customers.
- Operationalizing cash flow data to create flexible, innovative loan products.
Integrating Cash Flow Data into a Modern Underwriting Stack
In lending, cash flow data is simply the transactions from a borrower’s bank accounts showing money going in and out (i.e., cash flow). Turning this raw bank data into an actionable credit decision requires coordinating several systems into an ‘underwriting stack.’ This stack takes that raw cash flow data and helps lenders make sense of it for underwriting, decisioning, and even servicing.
Integrating cash flow data into your underwriting stack requires four key parts:
- Data Ingestion: The first step is retrieving the cash flow data from borrowers. Using API-based financial data aggregators like Plaid, Yodlee, or Nova Credit, lenders can pull real-time bank and payroll data directly from the source, eliminating the need for manually uploaded (and potentially falsified) bank statement PDFs.
- The Loan Origination System: Next, cash flow data needs to be integrated into the loan application process. Loan origination systems like DigiFi or Lendflow manage the application workflow and ensure that cash flow data is collected during the application process, so it can be fed into the next step.
- The Decision Engine: This is where cash flow data feeds into decision logic. Here, raw data is transformed into metrics such as the Debt Service Coverage Ratio (DSCR) and revenue volatility to determine the risk profile. Systems like Prism Data can help lenders make fast sense of raw cash flow data, and even provide a ‘CashScore’ similar to a credit score.
- The Intelligent Ledger (Canopy): A decision is only as good as the system that executes it. Without a flexible ledger like Canopy, cash flow insights can’t be used to build flexible, innovative financial products. With Canopy as the system of record, cash flow data flows from the bank account to the decision engine, then to the ledger, and finally back to monitoring. During monitoring, lenders can use cash flow insights to rescue distressed loans from default by reaching out for repayment at the right time (e.g., after a payment has been received).
Deeper Assessments: Moving Beyond the DTI
Traditional Debt-to-Income (DTI) ratios are often not deep enough to show the whole picture for business lending. Cash flow underwriting allows credit teams to take a much deeper look at a business’s connective tissue.
With insights from a business’s cash flow data, lenders can uncover insights such as:
- Revenue Concentration: Is 80% of the company’s income coming from a single customer or client? Cash flow underwriting can instantly flag this vulnerability, but DTI ratios and credit reports cannot.
- Burn Rate and Runway: For high-growth startups or tech companies, understanding how many months a business can operate before it must become profitable to stay afloat is more valuable than a static balance sheet. Cash flow insights can help reveal the true answers to burn rate and runway questions.
- Seasonality Adjustments: In seasonal businesses like landscaping or tax accounting, the bank balance during low seasons might look high-risk in traditional underwriting. However, cash flow underwriting can reveal recurring revenue surges during peak months and paint a better picture over the entire year. This could enable a lender to more confidently approve a loan or revolving credit line to a seasonal (but reliable) business.
Living Risk Profiles: From Initial Check to Continuous Monitoring
In a typical lending model, underwriting only happens once at the start of the loan. With cash flow data, underwriting can be applied continuously, even to existing loans.
By integrating cash flow data with tools like Canopy’s DataDirect, lenders can correlate loan performance with real-time cash flow data. Instead of waiting for a missed payment and the threat of delinquency, the system can use automated triggers based on real-time data to proactively manage risk.
Here are some of the actions you can take using a “living risk profile” with Canopy:
- Draw Pauses: If a borrower’s cash balance drops below a pre-set threshold, the system can automatically pause further draws on a Line of Credit.
- Dynamic Rates: For performance-linked loans, minimum payments can be adjusted to better align with the high and low ranges of borrowers’ realized revenue.
- Smart Servicing: If cash flow volatility increases, Canopy can trigger a “soft-touch” outreach from the servicing team or automate lien notices before a delinquency even occurs.
Operationalizing Cash Flow with Canopy
The biggest hurdle to cash flow underwriting is often the rigidity of a legacy Loan Management System (LMS). If your ledger requires significant engineering work just to change a covenant calculation, you can’t easily add cash flow data to your underwriting or servicing workflow.
Canopy solves this through our “configuration over code” approach. Our platform allows credit teams to bake cash-flow-based risk thresholds directly into the loan structure. This flexibility is essential for “edge case” products like revenue-based financing, where repayment amounts change every month based on a percentage of the borrower’s cash flow. While traditional ledgers struggle with a dynamic product structure like this, Canopy was built to handle it natively.
Cash Flow Data’s Competitive Edge
The lenders who win the next decade will be those who can “see” their borrowers’ financial health most clearly. By integrating cash flow underwriting into a modern, API-first stack, lenders can achieve lower default rates and higher approval rates while significantly reducing servicing costs through smart, cash-flow-based automated touchpoints.
Ready to move beyond legacy ledgers and into a modern lending stack that’s equipped for cash flow underwriting?
