{"id":62470,"date":"2026-03-06T03:05:10","date_gmt":"2026-03-06T02:05:10","guid":{"rendered":"https:\/\/housesmarketplace.com\/better-launches-chatgpt-based-credit-decision-engine-for-mortgage-and-heloc-lenders\/"},"modified":"2026-03-06T03:05:10","modified_gmt":"2026-03-06T02:05:10","slug":"better-launches-chatgpt-based-credit-decision-engine-for-mortgage-and-heloc-lenders","status":"publish","type":"post","link":"https:\/\/housesmarketplace.com\/ru\/better-launches-chatgpt-based-credit-decision-engine-for-mortgage-and-heloc-lenders\/","title":{"rendered":"Better launches ChatGPT-based credit decision engine for mortgage and HELOC lenders"},"content":{"rendered":"<div>\n<p><strong>Better.com<\/strong> has launched a conversational credit decision engine that lets mortgage and home equity lenders run underwriting through ChatGPT using the company\u2019s <a href=\"https:\/\/www.housingwire.com\/articles\/vishal-garg-better-ai-betsy-tinman-mortgage-underwriting-technology\/\">Tinman<\/a> AI platform, the company announced Thursday.<\/p>\n<p>The integration, built with OpenAI using a Model Context Protocol (MCP) connector, allows loan officers and bank teams to access Better\u2019s Tinman engine directly in ChatGPT Enterprise. Users can connect their own guidelines, pricing and CRM data and receive decision-ready <a href=\"https:\/\/www.housingwire.com\/articles\/how-ai-is-already-transforming-and-improving-the-mortgage-underwriting-process\/\">\u0430\u043d\u0434\u0435\u0440\u0440\u0430\u0439\u0442\u0438\u043d\u0433<\/a> results for mortgage and <a href=\"https:\/\/www.housingwire.com\/articles\/mba-total-heloc-home-equity-loan-debt-outstanding-originations-marina-walsh\/\">\u043a\u0440\u0435\u0434\u0438\u0442\u044b \u043f\u043e\u0434 \u0437\u0430\u043b\u043e\u0433 \u0436\u0438\u043b\u044c\u044f<\/a> inside the ChatGPT interface.<\/p>\n<p><a href=\"https:\/\/www.housingwire.com\/articles\/better-mortgage-q2-2025-earnings-vishal-garg-ai\/\">\u041b\u0443\u0447\u0448\u0435<\/a> said loan officers using the Tinman AI app in ChatGPT can take consumer application data and documents and fully underwrite loans to the specific guidelines of more than 45 institutional investors. These include <strong>\u0424\u0430\u043d\u043d\u0438 \u041c\u044d\u0439<\/strong>,<strong> \u0424\u0440\u0435\u0434\u0434\u0438 \u041c\u0430\u043a <\/strong>\u0438 <strong>\u0424\u0435\u0434\u0435\u0440\u0430\u043b\u044c\u043d\u043e\u0435 \u0436\u0438\u043b\u0438\u0449\u043d\u043e\u0435 \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u0435<\/strong>, as well as major banks such as <strong>\u0414\u0436\u0435\u0439 \u041f\u0438 \u041c\u043e\u0440\u0433\u0430\u043d \u0427\u0435\u0439\u0437<\/strong>, <strong>\u0422\u0440\u0443\u0438\u0441\u0442<\/strong>, <strong>Citizens Bank<\/strong>, <strong>\u0411\u0430\u043d\u043a \u0421\u0428\u0410<\/strong>, <strong>Huntington Bank<\/strong> \u0438 <strong>\u041f\u044f\u0442\u0430\u044f \u0442\u0440\u0435\u0442\u044c<\/strong>.<\/p>\n<p>The process can be completed in as little as 47 seconds, with a median time of 2 minutes and 24 seconds. That compares with an industry average of about 21 days for a traditional mortgage underwriting process, according to the company.<\/p>\n<p>\u201cLoan officer teams and banks can simply log into their ChatGPT Enterprise account, download the Tinman AI credit decision engine app, connect their guidelines, pricing, and CRM to process, underwrite, and fulfill loans nearly instantly; passing thousands of dollars in savings to consumers,\u201d <a href=\"https:\/\/www.housingwire.com\/articles\/better-hires-former-fhfa-ai-leader-leah-price\/\">Leah Price<\/a>, general manager of Tinman AI Platform, said in a statement.<\/p>\n<p>Through the MCP connector, ChatGPT acts as the front end while Tinman serves as the decisioning layer. Better said its platform maintains a real-time snapshot of each loan file \u2014 including facts, documents, actions and outstanding conditions \u2014 and uses an \u201cunderwriting orchestrator\u201d to route work to specialized agents that read documents, apply guidelines and return a decision-ready status with a granular decision tree. <\/p>\n<p>The company positioned this as an alternative to legacy loan origination system (LOS) stacks.<\/p>\n<p>Tinman is trained on more than a decade of Better\u2019s internal mortgage data, according to a company press release. Better said the platform has mapped roles, tasks, rules and decisions across over $110 billion in funded loans, more than 12 million recorded customer calls and more than 5 billion pages of credit, income, collateral and asset documentation. <\/p>\n<p>It also includes the criteria and pricing parameters of investors representing more than 80% of the U.S. mortgage market.<\/p>\n<p>\u201cWith OpenAI, Better is not only advancing mortgage intelligence for the industry but also demonstrating how AI can transform how financial institutions operate from the inside out,\u201d said Giancarlo Lionetti, chief commercial officer at OpenAI.<\/p>\n<p>The launch extends Better\u2019s existing use of OpenAI tools. The company has deployed ChatGPT across its roughly 1,400 employees and uses OpenAI\u2019s multimodal models to power <a href=\"https:\/\/www.housingwire.com\/articles\/better-ai-voice-cost-originate\/\">Betsy<\/a>, its AI loan agent that supports both consumer and enterprise customers.<\/p>\n<p>For originators, the key change is where and how underwriting decisions get made. Instead of working inside a traditional LOS or proprietary portal, loan officers with ChatGPT Enterprise access can query Tinman from a conversational interface \u2014 asking if a borrower qualifies, what conditions remain or how a file would price across multiple investors \u2014 and receive answers grounded in their organization\u2019s own overlays, product matrices and pricing models.<\/p>\n<p>\u201cThe most important part of my day is delivering mortgage purchase commitment letters to <a href=\"https:\/\/www.housingwire.com\/articles\/next-generation-luxury-homebuyers-engel-volkers\/\">\u043f\u043e\u043a\u0443\u043f\u0430\u0442\u0435\u043b\u0438 \u0436\u0438\u043b\u044c\u044f<\/a> that need a mortgage to buy a home,\u201d Better loan officer Tony Song said. \u201cWith this launch, I\u2019m already benefitting from the efficiencies, and I will be able to serve 10x more customers daily compared to what was possible with the traditional mortgage underwriting process.\u201d<\/p>\n<h2 class=\"wp-block-heading\" id=\"h-why-this-matters-for-housing-professionals\">Why this matters for housing professionals<\/h2>\n<p>The move underscores how quickly generative AI is moving from front-end lead capture to core <a href=\"https:\/\/www.housingwire.com\/articles\/ocrolus-automated-conditioning\/\">credit decisioning<\/a> in mortgage. By embedding investor guidelines and pricing logic into a conversational interface, lenders and brokers could shorten cycle times, reduce manual touches and potentially compress the cost to originate \u2014 a key focus in a volume- and margin-constrained market.<\/p>\n<p>At the same time, the strategy highlights a broader shift: Instead of building standalone lender tools, some vendors are meeting loan officers inside horizontal AI platforms such as ChatGPT Enterprise. For lending executives, that raises new questions around data governance, model explainability, investor acceptance and regulatory expectations as AI-driven decision support moves closer to underwriting.<\/p>\n<p>Better said it plans to continue building additional tools on OpenAI\u2019s stack aimed at reducing both the time and cost to originate loans, with a stated goal of making mortgages more affordable for consumers.<\/p>\n<p><em>This article was produced with the assistance of HW Automation.<\/em><\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Better.com has launched a conversational credit decision engine that lets mortgage and home equity lenders run underwriting through ChatGPT using the company\u2019s Tinman AI platform, the company announced Thursday. The integration, built with OpenAI using a Model Context Protocol (MCP) connector, allows loan officers and bank teams to access Better\u2019s Tinman engine directly in ChatGPT [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-62470","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v17.5 (Yoast SEO v18.0) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Better launches ChatGPT-based credit decision engine for mortgage and HELOC lenders - Houses Marketplace<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/housesmarketplace.com\/ru\/better-launches-chatgpt-based-credit-decision-engine-for-mortgage-and-heloc-lenders\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Better launches ChatGPT-based credit decision engine for mortgage and HELOC lenders\" \/>\n<meta property=\"og:description\" content=\"Better.com has launched a conversational credit decision engine that lets mortgage and home equity lenders run underwriting through ChatGPT using the company\u2019s Tinman AI platform, the company announced Thursday. 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