{"id":48308,"date":"2026-04-03T16:20:57","date_gmt":"2026-04-03T13:20:57","guid":{"rendered":"https:\/\/mk.gen.tr\/better-bets-on-chatgpt-as-the-new-front-door-for-origination\/"},"modified":"2026-04-03T16:20:57","modified_gmt":"2026-04-03T13:20:57","slug":"better-bets-on-chatgpt-as-the-new-front-door-for-origination","status":"publish","type":"post","link":"https:\/\/mk.gen.tr\/tr\/better-bets-on-chatgpt-as-the-new-front-door-for-origination\/","title":{"rendered":"Better bets on ChatGPT as the new front door for origination"},"content":{"rendered":"

Better.com<\/strong> says that its new integration with ChatGPT<\/a> is more than a flashy plugin. According to CEO Vishal Garg<\/a>, it\u2019s a tool that could shift how mortgage technology is distributed and adopted across the industry.<\/p>\n

In early March, Better announced the conversational credit decision engine<\/a> that allows lenders to run underwriting through ChatGPT using its Tinman AI platform.<\/p>\n

In an interview with HousingWire<\/strong> shortly after the launch, Garg said the strategy is aimed at reducing friction in adopting mortgage technology by embedding Tinman into an interface many users already understand.<\/p>\n

\u201cPeople already know how to use these large language models in their day-to-day lives,\u201d Garg said. \u201cIt creates a single interface instead of the thousands of buttons traditionally required.\u201d<\/p>\n

The company\u2019s Tinman platform connects to underwriting systems, loan data and guidelines, including those from Fannie Mae<\/a> <\/strong>and Freddie Mac<\/a><\/strong>. This allows loan officers or brokers to input borrower information conversationally and receive near-instant eligibility and product recommendations.<\/p>\n

Garg pointed to early results from NEO Home Loans<\/a><\/strong>, powered by Better, which reduced its costs to originate by 30% and doubled its business. He also acknowledged that onboarding lenders onto new systems has historically taken months due to training requirements and resistance to change, particularly among experienced loan officers accustomed to legacy systems.<\/p>\n

The ChatGPT integration, he said, significantly shortens that timeline.<\/p>\n

\u201cWe\u2019ve taken what used to be a three- to six-month sales cycle and made it nearly frictionless,\u201d Garg said, adding that some lenders can begin using the system within days after implementation. <\/p>\n

Garg added that he has been \u201cworking till like 1 a.m. every night,\u201d fielding inbound interest from banks and lenders that have seen demos. One recent bank call, he said, went from first demo to \u201cOK, how do we get started?\u201d in 22 minutes.<\/p>\n

Under the model, lenders must sign up as Tinman<\/a> clients, but Garg said access has been simplified to resemble a standard software onboarding process. He added that banks, many of which have exited mortgage lending, could reenter the space<\/a> more quickly using the platform.<\/p>\n

\u201cThere are about 6,000 banks in America. Most of them are not in the mortgage business anymore,\u201d he said. \u201cThey can be back in the mortgage business in a matter of days.\u201d<\/p>\n

Matt Brown, a Naples, Florida<\/a>-based real estate agent and broker associate at William Raveis<\/strong>, said that \u201cthe industry impact is projected to be significant, particularly in how loans are processed, though it may take time for full adoption.\u201d<\/p>\n

Brown also said that the move means Better is transforming from a direct-to-consumer lender into a \u201cmortgage-as-a-service\u201d provider. <\/p>\n

Garg also emphasized that lenders using Tinman retain ownership of their customer relationships, with Better acting as the technology provider rather than the borrower-facing brand.<\/p>\n

The borrower experience<\/h2>\n

On the consumer side, Better is testing a fully conversational mortgage experience on its website, replacing traditional application<\/a> forms with a chat-based interface powered by its AI assistant.<\/p>\n

Ravi Velampally, founder of HBN-Tech.com<\/strong>, a proptech<\/a> platform that connects homebuyers with lending and real estate professionals, said that the bigger implication of Better\u2019s integration is structural.<\/p>\n

\u201cBetter is changing underwriting from a process inside systems to an intelligence layer that\u2019s accessible anywhere,\u201d Velampally said. \u201cThis could actually change the industry, not because of ChatGPT itself, but because decision-making is moving from siloed loan originating system workflows into real-time artificial intelligence<\/a>-driven infrastructure.<\/p>\n

\u201cThe idea that mortgage underwriting is moving to an intelligence<\/a> layer accessible is a big deal,\u201d he added. \u201cTinman is already trained on over a decade of mortgage data and billions of documents. ChatGPT makes that intelligence accessible in real time.\u201d<\/p>\n

In the coming months, Garg said borrowers may be able to use personal AI agents like ChatGPT to complete mortgage applications on their behalf, though final authorization steps like document signing<\/a> would still require borrower consent.<\/p>\n

\u201cOur client retains the customer,\u201d Garg said. \u201cTinman is the platform; Better.com DTC is a client.\u201d<\/p>\n

The broader vision, Garg reiterated, includes AI systems that can monitor a consumer\u2019s finances, track home listings<\/a> and notify users when they are financially ready to purchase.<\/p>\n

The early response from lenders has been strong, according to Garg, who said demand has accelerated the company\u2019s sales pace. \u201cWe\u2019re seeing people go from demo to getting started in minutes,\u201d he said.<\/p>","protected":false},"excerpt":{"rendered":"

Better.com says that its new integration with ChatGPT is more than a flashy plugin. According to CEO Vishal Garg, it\u2019s a tool that could shift how mortgage technology is distributed and adopted across the industry. In early March, Better announced the conversational credit decision engine that allows lenders to run underwriting through ChatGPT using its…<\/p>","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false},"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/mk.gen.tr\/tr\/wp-json\/wp\/v2\/posts\/48308"}],"collection":[{"href":"https:\/\/mk.gen.tr\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mk.gen.tr\/tr\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/mk.gen.tr\/tr\/wp-json\/wp\/v2\/comments?post=48308"}],"version-history":[{"count":0,"href":"https:\/\/mk.gen.tr\/tr\/wp-json\/wp\/v2\/posts\/48308\/revisions"}],"wp:attachment":[{"href":"https:\/\/mk.gen.tr\/tr\/wp-json\/wp\/v2\/media?parent=48308"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mk.gen.tr\/tr\/wp-json\/wp\/v2\/categories?post=48308"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mk.gen.tr\/tr\/wp-json\/wp\/v2\/tags?post=48308"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}