Tinman AI Platform integration reduces mortgage underwriting from 21 days to as little as 47 seconds
Better Home & Finance Holding Company (NASDAQ: BETR) today announced the launch of the first conversational credit decision engine for mortgages and home equity loans within ChatGPT, developed in collaboration with OpenAI. The new application connects users to Better’s Tinman® engine directly through ChatGPT, delivering decision-ready information that enables lending teams to approve more loans faster while passing cost savings to borrowers. Better’s engineering and AI teams built a custom Model Context Protocol connector to expand Tinman AI Platform access to the entire financial services industry through ChatGPT Enterprise.
The launch addresses fundamental inefficiencies in mortgage origination that have historically added costs for consumers and friction for loan officers. Traditional mortgage aggregators in the broker and correspondent channel typically charge a 1 to 2 percent fee per loan for underwriting and delivery to institutional investors. By embedding Tinman’s capabilities within ChatGPT, Better enables loan officer teams and banks to connect their guidelines, pricing, and customer relationship management systems directly to an AI-powered underwriting engine capable of processing loans nearly instantly.
Key Insights at a Glance
- 47-Second Approvals: The Tinman AI engine can fully underwrite mortgage loans to guidelines from over 45 institutional investors in as little as 47 seconds, with a median time of 2 minutes and 24 seconds, compared to the industry average of 21 days.
- Massive Training Data: Tinman’s machine learning engine and context graph draw from more than $110 billion in funded loans, 12 million recorded customer calls, and over 5 billion pages of credit, income, and asset documentation.
- Market Coverage: The platform maps underwriting criteria and pricing parameters for over 45 institutional buyers representing more than 80 percent of the US mortgage market, including Fannie Mae, Freddie Mac, FHA, and major banks.
- Loan Officer Impact: Early users report the ability to serve 10 times more customers daily compared to traditional mortgage underwriting processes.
Real-Time Context Engineering Powers Instant Decisions
The Model Context Protocol serves as the delivery layer, but Tinman’s real-time context capabilities provide the true differentiation. The platform maintains a continuous snapshot across every loan file, tracking facts, documents, actions, and outstanding requirements at any given moment. Context engineering composes precise information per request, while an underwriting orchestrator drives specialized agents to read documents, apply guidelines, and return decision-ready status supported by granular decision trees. This architecture enables capabilities that legacy loan origination systems cannot replicate, giving enterprise clients instant access to underwriting powered by the industry’s richest context graph and learning data store.
“The mortgage industry is riddled with inefficiencies that hurt consumers, as well as the loan officers and lenders who serve them,” said Leah Price, General Manager of Tinman AI Platform. “Big mortgage aggregators in the broker and correspondent channel charge what is essentially a 1-2% tax on each loan just to underwrite a mortgage and deliver it to an institutional investor. That ends now. Loan 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.”
Transforming Loan Officer Productivity and Consumer Outcomes
Tony Song, a Better Loan Officer ranked in the Top 100 by Scotsman Guide for dollar volume, purchase volume, and most loans closed, has already begun benefiting from the efficiency gains. “The most important part of my day is delivering mortgage purchase commitment letters to homebuyers that need a mortgage to buy a home,” Song said. “With this launch, I’m 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.” The platform’s ability to underwrite across the full product set and buy box of institutional investors enables loan officers to match borrowers with optimal loan products while maintaining compliance with exact underwriting guidelines.
Strategic Collaboration With OpenAI Expands
The ChatGPT integration expands Better’s broader collaboration with OpenAI, following the company’s enterprise-wide deployment of ChatGPT across its 1,400 employees and its use of OpenAI’s multimodal models to power Betsy™, Better’s AI loan agent for consumer and enterprise customers. “Better is embedding AI at the core of its business, helping its employees and lenders move faster from data to decision,” said Giancarlo “GC” Lionetti, Chief Commercial Officer at OpenAI. “With 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.” Better Founder and CEO Vishal Garg emphasized the long-term vision: “By reducing the time and cost to originate, we can dramatically lower rates for consumers and make mortgages more affordable for more American families. We’re just getting started.”
Future Outlook
The integration of Tinman’s credit decision engine within ChatGPT signals a fundamental shift in how financial services institutions will access and deploy AI capabilities. Rather than building proprietary interfaces, companies can now leverage platforms that millions of Americans already use daily. For the mortgage industry, this means underwriting expertise accumulated over decades becomes accessible through natural language conversation. As Better continues building additional tools on OpenAI’s platform, the convergence of conversational AI and institutional mortgage intelligence will likely accelerate, potentially reshaping competitive dynamics across lending, servicing, and secondary market activities. Loan officers equipped with these tools gain significant advantages in speed, accuracy, and customer experience.
Conclusion
Better’s launch of the first conversational credit decision engine in ChatGPT represents a practical application of AI to solve entrenched industry inefficiencies. By combining Tinman’s decade of mortgage intelligence with OpenAI’s conversational platform, the company delivers instant underwriting capabilities that benefit lenders, loan officers, and borrowers alike. The result is faster approvals, lower costs, and expanded access to homeownership for American families.
Join the conversation in the comments below.
About Better Home & Finance Holding Company
Better Home & Finance Holding Company (NASDAQ: BETR) is the first AI-native mortgage and home equity finance platform, and first fintech to fund more than $110 billion in loan volume. Better has leveraged its industry-leading AI platform, Tinman®, to achieve its singular mission of making homeownership cheaper, faster, and easier for all Americans. Tinman® allows customers to see their rate options in seconds, get pre-approved in minutes, lock in rates, and close their loan in as little as three weeks. In addition, Betsy™, the first AI loan agent built exclusively for the mortgage industry, revolutionizes the homebuying journey by answering questions, delivering approvals, comparing products, processing rate locks, and moving their loan application along to closing 24/7/365. Better’s mortgage offerings include GSE-conforming mortgage loans, FHA and VA loans, and jumbo mortgage and home equity loans. Better serves customers in all 50 US states and the United Kingdom.
Source link: https://www.businesswire.com/
