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RegFi podcast spotlights Fincast’s AI mortgage-shopping model

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Why it matters

Benjamin Schieken, founder and CEO of Fincast, discussed how AI-enabled tools can help borrowers compare mortgage offers and pressure lenders to compete on better terms during an episode of RegFi, the podcast published by Orrick, Herrington & Sutcliffe LLP. The conversation with co-hosts Jerry Buckley and Sherry Safchuk moved beyond APR comparisons to examine total transaction costs and expected loan duration, aiming to clarify the true economics of a mortgage decision.

Fincast operates a privacy-first, AI-driven mortgage-shopping platform that uses borrower loan estimates to solicit competing lender bids through a reverse-auction process. The company has positioned itself as an "AI autopilot for rate shopping" that preserves consumer privacy while improving deal comparison.

The episode is timely as AI increasingly enters consumer finance workflows, particularly in mortgage shopping—a high-cost decision where small pricing differences translate to substantial borrower savings. The discussion touches on broader industry questions about agentic AI, lender competition dynamics, and how digital tools may reshape loan shopping and financial decision-making. Attorneys should monitor how regulators respond to AI-driven mortgage platforms, particularly regarding consumer protection, fair lending compliance, and the adequacy of existing disclosure frameworks for algorithm-assisted loan shopping.

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