A hands-on playbook from Sei AI TL;DR * Mortgage loan queries are predictable in intent but messy in context (policy nuance, fragmented systems, state rules). Good agents need policy depth, not just friendly voices. * Sei AI builds specialized, finance-grade agents—voice and chat—for regulated institutions. They’re designed for

Why now: AI that fits mortgage & regulated finance When I first plugged intelligent agents into a lending stack, the surprise wasn’t the “AI” part—it was how much friction was hiding in plain sight: policy edge-cases, document mismatches, scripts agents kept missing, and a mountain of call/chat/

If you’ve ever watched a great loan officer juggle a dozen borrower threads at once, you know the magic is in the follow-up. This guide shows how to scale that magic—without tripping over mortgage regulations—using Sei AI’s finance-grade agents. Why follow-ups stall (and what to do

The mortgage industry is experiencing a technological transformation, with artificial intelligence voice agents emerging as a game-changing solution for streamlining application follow-ups. As lenders face mounting pressure to reduce costs while improving customer service, AI voice agents are proving to be the answer to both challenges. The Current State of