“You shouldn’t be turning control over to the borrower,” he said. “You should be using AI to gather and process information quickly, so by the time you’re on the phone with a client, you already know what they qualify for.”
Tools that verify documents, parse income data, or filter loan products in real time are examples of what Bressler sees as AI’s true potential. Used correctly, this tech can accelerate approvals and reduce reliance on underwriters for basic validation.
Navigating product complexity with AI guidance
As product guidelines shift and lenders consolidate, brokers are struggling to keep up with overlays, pricing, and requirements. Here, Bressler sees consultative tech as a bridge.
He points to UWM’s own example: a tool called LEO (Loan Estimate Optimizer) that analyzes competing loan estimates in seconds, flags potential issues, and surfaces better product options. It enables brokers to offer immediate, confident advice based on dynamic criteria.
“It’s like having an assistant next to you, doing the heavy lifting while you’re talking,” he said. “You can show clients exactly where another lender’s estimate might fall short, and what better alternatives exist.”