Plain-English definitions for KYB, MCA stacking, DSCR, NSF, SOS checks, equipment finance, bank statement analysis, and the AI underwriting terms lenders use every day.
Agentic AI underwriting uses specialized AI agents to perform underwriting preparation tasks such as document intake, KYB checks, bank statement analysis, fraud review, policy checks, and credit memo drafting.
Why lenders care: Unlike fixed workflow automation, agentic systems can branch when they find exceptions, gather additional evidence, and preserve the reasoning trail for human credit review.
Human-in-the-loop underwriting keeps credit professionals responsible for review and judgment while software handles preparation, analysis, evidence gathering, and documentation tasks.
Why lenders care: This approach is important in regulated lending because AI outputs should be reviewable, source-linked, and overrideable by humans.
Source-linked evidence connects a conclusion, risk flag, or memo statement back to the document, transaction, record, or observation that supports it.
Why lenders care: Source links make AI-assisted underwriting reviewable, auditable, and easier for humans to challenge or confirm.
Business verification is the process of confirming that a borrower is a legitimate operating business by checking registration records, addresses, ownership signals, web presence, documents, and public data.
Why lenders care: Strong business verification helps lenders catch mismatches, shelf companies, inactive entities, and borrowers whose submitted package does not match public evidence.
Know Your Business is the process of verifying a business customer by checking its legal existence, registration status, ownership signals, address, web presence, and supporting documents.
Why lenders care: In lending, KYB helps determine whether the applicant is a real operating business and whether the submitted borrower package matches independent evidence.
A Secretary of State check verifies a business against state registration records, including legal name, entity status, filing date, registered agent, and good-standing indicators where available.
Why lenders care: SOS checks are a core KYB step because dissolved, inactive, or mismatched entities can create fraud and enforceability risk.
A UCC search checks Uniform Commercial Code financing statement records to identify existing secured creditors, liens, collateral claims, or prior positions against a borrower.
Why lenders care: UCC results help lenders understand existing debt exposure, collateral conflicts, and stacking risk before approving new financing.
Web presence verification reviews a business's online footprint, including website, domain, reviews, maps, directories, social profiles, and consistency with the submitted application.
Why lenders care: A thin or inconsistent web presence can be a KYB risk signal, especially when public filings look clean but operational evidence is weak.
Average daily balance is the average amount of money in a bank account across a period, typically calculated by summing daily ending balances and dividing by the number of days reviewed.
Why lenders care: Lenders use ADB to understand liquidity, cash cushion, and volatility beyond monthly ending balances.
Bank statement analysis is the process of reviewing business bank transactions to understand revenue quality, cash flow, recurring obligations, liquidity, and repayment capacity.
Why lenders care: For SMB lenders, bank statements often reveal risk signals that traditional financial statements miss, including transfers, loan proceeds, overdrafts, NSFs, and MCA payments.
MCA stacking occurs when a merchant has multiple merchant cash advance positions or similar repayment obligations at the same time, often creating daily or weekly debt pressure.
Why lenders care: Lenders look for MCA stacking by analyzing recurring funder debits, loan-related credits, ACH patterns, and repayment activity in bank statements.
A negative balance day is a day when a bank account's ending balance falls below zero or otherwise shows insufficient available funds.
Why lenders care: Frequent negative balance days may indicate liquidity stress, poor cash management, or elevated repayment risk.
Non-sufficient funds refers to a failed or returned payment caused by an account not having enough available money to cover the transaction.
Why lenders care: NSF activity is a common bank statement risk signal because it can reveal cash stress and payment discipline issues.
Operating revenue is income generated by the borrower's normal business activity, separated from transfers, owner injections, loan proceeds, refunds, and one-time deposits.
Why lenders care: Correctly identifying operating revenue is critical because overstating revenue can make a borrower appear safer than they are.
An overdraft occurs when a bank account transaction exceeds the available balance and the bank covers or attempts to cover the shortfall.
Why lenders care: Overdraft frequency, fees, and timing can help lenders understand liquidity risk and account management behavior.
Transfer detection identifies bank transactions that move money between accounts or related parties rather than representing true business revenue or expenses.
Why lenders care: Detecting transfers helps prevent double-counted revenue and improves the accuracy of cash flow analysis.
Cash flow analysis evaluates how money enters and leaves a business to determine whether the borrower can support existing obligations and the requested financing.
Why lenders care: In SMB lending, cash flow analysis often relies on bank statements because tax returns and financial statements may be delayed, incomplete, or less current.
A credit box is the set of borrower, business, collateral, cash flow, industry, and risk criteria a lender uses to decide which deals fit its appetite.
Why lenders care: Brokers and originators use credit boxes to route deals to the lender most likely to approve them with fewer stipulations and less rework.
A credit memo is the underwriting document that summarizes the borrower, business verification findings, financial analysis, risk signals, policy exceptions, recommendation, and supporting evidence for a credit decision.
Why lenders care: A strong credit memo is concise, source-linked, and reviewable by credit teams, committees, auditors, and examiners.
Debt service coverage ratio compares cash flow available for debt service to required debt payments. A DSCR above 1.0 generally means cash flow exceeds scheduled debt obligations.
Why lenders care: Lenders use DSCR to evaluate repayment capacity, but the ratio is only useful when revenue, expenses, and debt payments are classified accurately.
Financial spreading converts borrower financial statements or tax returns into standardized line items and ratios for underwriting analysis.
Why lenders care: Spreading helps lenders compare borrowers consistently, calculate ratios like DSCR and leverage, and document the source behind each metric.
A policy exception is a deal attribute that falls outside a lender's standard credit guidelines but may still be considered with additional justification or approval.
Why lenders care: Documented exceptions help credit teams preserve consistency, explain decisions, and maintain an audit trail.
A fraud signal is an indicator that a borrower package may contain misrepresentation, tampering, identity issues, entity inconsistencies, or suspicious behavior.
Why lenders care: Fraud signals are not automatic declines; they are evidence-backed flags that help analysts decide what needs closer review.
Equipment finance is lending or leasing used by businesses to acquire equipment, vehicles, machinery, software, or other productive assets.
Why lenders care: Small-ticket equipment finance is operationally challenging because underwriting work can take nearly the same effort for a $75K deal as for a much larger transaction.
An independent sales organization is a third-party originator that sources borrowers and submits financing opportunities to lenders or funders.
Why lenders care: In broker-driven lending and MCA workflows, ISO submissions can arrive quickly and inconsistently, making intake speed and package quality critical.
A merchant cash advance provides capital to a business in exchange for a portion of future receivables or revenue, often repaid through frequent withdrawals.
Why lenders care: MCA funders rely heavily on fast KYB, bank statement analysis, revenue classification, and existing-position detection.
Revenue-based financing provides capital to a business with repayment tied to future revenue or receipts rather than a fixed traditional amortization schedule.
Why lenders care: RBF underwriting depends on accurate revenue classification, bank statement trends, KYB, and existing obligation detection.
Small Business Administration lending refers to business loans made by participating lenders under SBA programs, usually with specific eligibility, documentation, and guarantee requirements.
Why lenders care: SBA workflows are document-heavy, making intake, verification, spreading, and memo preparation especially important.
Small-ticket lending refers to lower-dollar business financing where manual underwriting cost can be high relative to loan revenue.
Why lenders care: Improving the unit economics of small-ticket lending is one reason lenders automate intake, KYB, bank statement analysis, and memo preparation.
Vendor finance is financing offered through or alongside equipment sellers, dealers, manufacturers, or software vendors to help customers acquire assets.
Why lenders care: Vendor finance workflows reward fast approvals because dealers route more volume to lenders that can respond before the buyer loses momentum.
An application package is the collection of borrower-submitted files and data a lender reviews before making a credit decision, including applications, bank statements, tax returns, invoices, IDs, voided checks, and business records.
Why lenders care: Messy packages create delays because analysts must classify files, check completeness, reconcile names, and prepare the file before credit analysis can begin.
A decision-ready file is a borrower package that has been organized, verified, analyzed, and documented enough for an underwriter to focus on credit judgment rather than preparation work.
Why lenders care: Kaaj uses the phrase to describe the output of intake, KYB, bank statement analysis, fraud review, and memo preparation before human decisioning.
Document classification identifies the type and purpose of each file in a borrower package, such as bank statement, credit application, tax return, invoice, ID, SOS filing, or voided check.
Why lenders care: Classification is the first step in turning unstructured uploads into a clean underwriting workflow.
Document intelligence combines classification, extraction, validation, renaming, completeness checks, and evidence linking for unstructured borrower documents.
Why lenders care: For lenders, document intelligence reduces the manual prep work that happens before underwriting analysis starts.
Exception handling is the process of resolving issues that fall outside a standard workflow, such as missing documents, name mismatches, unusual deposits, policy exceptions, or suspected fraud signals.
Why lenders care: In lending operations, exception handling often drives cycle time because edge cases require extra evidence and judgment.
A lender-ready package is a borrower submission that has been organized, checked for completeness, summarized, and prepared in the format a target lender expects.
Why lenders care: Brokers use lender-ready packages to reduce back-and-forth, improve routing, and get faster credit responses.
A loan origination system is software that manages loan applications, workflows, tasks, status tracking, approvals, and handoffs from submission through funding.
Why lenders care: Kaaj is designed to layer onto LOS and CRM workflows rather than force lenders to replace their systems of record.
A submittable file is a borrower package that contains the minimum documents and information needed to move from intake into underwriting review.
Why lenders care: Submittability checks reduce wasted analyst time by identifying missing statements, outdated documents, name mismatches, or incomplete applications early.
