The Future of AI & Automation in
Mortgage Lending

The U.S. housing market saw a surging demand in 2020, attributed to the brief historically low mortgage interest rates designed to spark a stalled economy, resulting in fierce bidding wars. The mortgage lending industry was challenged to seek a response to the unprecedented demand, with the U.S. Federal Reserve citing $4.51 trillion worth of mortgage originations in 2021, marking a historic 20-year high. Mortgage lending personnel needed new resources to efficiently process transactions, elevate client service, and mitigate risk.

The Mortgage Bankers Association (MBA), a leading industry advocacy organization, recently reported a 7% increase in mortgage applications, prompting industry reevaluation of processes. Artificial Intelligence enhanced by software specialists offers a solution to an industry seeking strategies to streamline processes. Augmented by tech innovations, the industry has new mortgage software resources to alleviate financial burdens, mitigate risk, reduce fraud, and assist buyers in navigating complex mortgage application processes.

How AI & Automation are Transforming Mortgage Lending

The Federal Reserve recently reported U.S. residential mortgage debt totaled $11.92 trillion, reinforcing the initial housing market surge and revenue generation. This led to the mortgage industry to be impacted by lengthy application processes and cumbersome data verification rules that hindered their ability to efficiently process applications. However, artificial intelligence augmented personnel and helped welcome a modernized yet personalized new approach.

Customer service was transformed with AI as clients received data-based guidance to help navigate the financial deluge that always comes with purchasing a home. Software developers have innovated chatbots with Natural Language Processing (NLP), providing end-users with an intuitive resource to expedite inquiries and offer 24/7 responses.

Risk assessment remains a critical metric for the mortgage lending industry to evaluate the potential for borrower delinquency. Inaccurate assessments have crippling impacts, such as home repossession, bankruptcy, and significant expenses incurred by lenders. Implementing an AI-based strategy within risk assessment provides end-users with unprecedented data-driven insights that automatically create personalized profiles accurately forecasting borrower credit history and income throughout the duration of the mortgage loan.

Mortgage defaults are especially problematic due to widespread impacts felt by homeowners, lenders, and ultimately, the U.S. economy. MBA reported delinquency rates are up 38 basis points from a year ago and property foreclosures have increased 8%, prompting the mortgage lending industry to reassess its methodologies amidst a total of over 32,000 properties that are faced with foreclosure actions. AI enhanced with predictive analytics enables industry personnel to make more informed decisions when assessing mortgage loan applications, ultimately reducing delinquency rates responsible for foreclosures.

AI Solutions for Reducing Mortgage Fraud

Fraud within mortgage lending continues to vex the industry, as recent high-profile schemes drew media attention. However, leveraging software innovations such as AI and Machine Learning provides the industry with powerful new resources to mitigate costly fraudulent activity.

Predatory lending and mortgage reduction scams were key drivers to the 2007 U.S. recession and the 2008 subprime mortgage economic crisis. LexisNexis reported mortgage lenders experienced over 1300 instances of attempted mortgage fraud per month during the recent real estate boom. Utilizing all available resources to mitigate costly scams will protect the revenue generated from the recent housing market bubble.

ML and AI empower mortgage lenders by implementing intelligent document scanning, which expediently identifies data anomalies, document tampering, improper income verification, and other fraudulent activities that traditional methodologies may have previously overlooked.

Benefits of AI & Automation in Mortgage Lending

Artificial Intelligence continues its transformative impacts across several industries, and its implementation within mortgage lending provides versatile resources to augment a sector that has experienced significant changes: from the 2007-2008 economic crisis and recession to the unforeseen and unprecedented housing boom of 2020 and today.

Benefits of AI include greater accuracy by utilizing data-driven decisions in risk assessment and document preparation and augmenting personnel with elevated attention to detail. Reducing human error also mitigates expenses. Within mortgage lending, revenue generation is highly dependent on the accurate completion of financial-based documents to avoid costly loan delinquency and failure to adhere to compliance.

Within the mortgage lending industry, customer service is paramount for client retention, business reputation, and ensuring all parties adhere to stringent contract processes. AI enables a more personalized approach to client relationships by augmenting personnel with actionable insights into client behavior, budgets, property needs, and wants, and with analytics, personnel ensure that clients receive more attentive service and the proper mortgage contract adhering to customized debt-to-income financial plans.

Future Trends and Predictions

AI enables modernized strategies and workflows within industries that continue adopting this cutting-edge resource. AI is designed to augment personnel by elevating collateral quality, driving innovation, and promoting a more individualized relationship with clients.

Within mortgage lending, we see automation and predictive analytics as new avenues for mitigating costly loan delinquency while creating a more individualized experience for clients requiring additional guidance. Creating a digital-first mortgage lending sector is certainly possible with software specialists enhancing and modernizing resources to drive innovation. Mortgage lenders seeking to embrace an AI-driven strategy should consult software developers to streamline processes further and move the lucrative mortgage lending industry into the future.