Glossary of Terms

Dynamic Decision-Making

Definition

Dynamic Decision-Making refers to the use of real-time data, AI-driven insights, and automated logic to instantly adjust lending decisions based on changing borrower information, risk factors, and loan product criteria. This approach enables lenders to make fast, informed, and adaptive loan approvals, improving efficiency and reducing delays.

Why is it important to SBA Lending

SBA lending is complex, with strict eligibility requirements and extensive documentation needs. Traditional manual decision-making slows down approvals, leading to:
-Higher application abandonment rates due to long processing times.
-Inconsistent lending decisions based on outdated or incomplete data.
-Increased compliance risks from human errors in risk evaluation.

By leveraging Dynamic Decision-Making, lenders can:
-Instantly adapt loan recommendations based on updated borrower data.
-Reduce the need for manual reviews and increase approval speed.
-Improve borrower experience with faster, more accurate loan determinations.

What role does Parlay Play

Parlay’s Loan Intelligence System (LIS) applies AI and machine learning to continuously refine loan decisioning. Key benefits include:
-Automated risk assessments that update in real-time.
-Event-driven decision logic that ensures compliance and accuracy.
-Personalized loan recommendations that match borrower needs instantly.

With Dynamic Decision-Making, Parlay helps lenders streamline approvals, enhance borrower trust, and increase loan conversion rates.