Case Study: Hudson Valley Federal Credit Union speeds loan officer ramp-up and boosts funded loans with Posh AI

Hudson Valley Federal Credit Union cuts loan officer ramp time from six months to three with Posh

Hudson Valley Federal Credit Union, an $8 billion asset institution, faced significant challenges as its loan officers struggled to quickly find answers to member questions. Staff had to dig through thousands of internal documents or find a coworker who might know the correct lending policy, which slowed down conversations and delayed the ramp time for new hires.

Posh implemented its AI Knowledge Assistant to provide instant, cited answers from the credit union's approved policy documents. The solution dramatically cut the time for new hires to start originating loans from six months to three, resulting in over $500,000 in loan dollars per new hire in their first year. Additionally, HVCU achieved an 88.9% first-call resolution rate, saved 143 hours per month, and saw the share of originated loan dollars that got funded rise from 39% to over 50%.

Hudson Valley Federal Credit Union