Rethinking credit decisions at scale

NEW YORK
5 Dec 2025
Every loan officer knows the grind, but the numbers still sting. Studies show that underwriters spend 40% of their time on work that has nothing to do with deciding who should get a loan.
They’re retyping data from PDFs, cross-checking numbers that any spreadsheet could verify in seconds, and chasing one missing signature across a 20-page application. It’s the lending world’s version of looking for your keys while they’re in your hand or calling customer service to ask where your package is . . . while it’s sitting on your front porch.
AI has changed (and continues to change) that equation significantly!
But when artificial intelligence walked into the lending office, it didn’t just arrive to handle paperwork. It came with the ability to see patterns that humans consistently missed: the member whose irregular gig work income showed strong earning potential, the recent graduate whose student loan payments demonstrated excellent payment discipline, or the immigrant whose rent and utility payment history revealed rock-solid financial habits despite a thin credit file.
Nobody thought it would change who gets approved for loans. Until it did.
