Glossary of Terms

Dynamic Conditional Logic

Definition

An advanced AI-driven workflow automation feature that adapts in real time based on applicant responses, financial data, and eligibility criteria. It ensures that only relevant questions, document requests, and loan options are presented to each borrower, streamlining the application process and reducing unnecessary friction.

Why is it important to SBA Lending

SBA loan applications are notoriously complex, requiring extensive documentation and compliance checks. Without Dynamic Conditional Logic, applicants often face:
-Confusing, one-size-fits-all application forms that don’t align with their specific needs.
-Unnecessary document requests, leading to delays and high dropout rates.
-Inconsistent loan eligibility determinations, causing bottlenecks in the lending process.

By intelligently adjusting questions and requirements based on real-time data, Dynamic Conditional Logic improves efficiency, reduces borrower frustration, and increases completed applications.

What role does Parlay Play

Parlay’s Loan Intelligence System (LIS) leverages Dynamic Conditional Logic to:
-Personalize the loan application experience, ensuring borrowers only see relevant questions and document requests.
-Automate real-time decisioning, dynamically adjusting eligibility checks as new borrower data becomes available.
-Enhance compliance and accuracy, ensuring that only eligible applicants move forward in the process.

By implementing Dynamic Conditional Logic, Parlay eliminates unnecessary complexity in SBA lending, helping more small businesses access funding faster while improving lender efficiency.