Blog / Solutions

Exploring the Power of Mortgage Artificial Intelligence

The mortgage industry, long characterized by its paper-intensive processes, is evolving. And it’s all thanks to new technologies like artificial intelligence (AI).

In fact, according to a recent study conducted by Arizent, the parent company of National Mortgage News, 60% of mortgage organizations already use or will start using AI tools in 2024.

While the adoption of AI is increasing, many mortgage leaders are left with several unanswered questions regarding the advanced technology. This blog post will answer them.

Top Mortgage Artificial Intelligence Use Cases

Let’s start with some of the top ways organizations in the mortgage industry are leveraging artificial intelligence:

Document Processing

Many mortgage companies are using AI-powered document processing solutions. These solutions automate the extraction and analysis of data from various mortgage-related documents, such as income statements, tax returns, and property appraisals. By leveraging optical character recognition (OCR) and natural language processing (NLP) technologies, these solutions help organizations accelerate document-centric processes like underwriting.

Customer Service & Support

Deloitte found that 42% of organizations in the financial services sector use artificial intelligence for chatbots, voice assistants, and other conversational tools. Mortgage companies are using these AI-powered tools to provide immediate support and guidance to borrowers. By leveraging NLP algorithms, these solutions can interact with borrowers, answer inquiries, provide updates on loan applications, and assist with document submissions.

Fraud Detection & Prevention

Mortgage fraud detection systems built with artificial intelligence employ advanced analytics and machine learning algorithms to identify suspicious activity in mortgage applications. By analyzing transactional data, borrower profiles, and behavioral patterns, these systems flag potential fraud risks in real-time for mortgage companies.

Regulatory Compliance & Risk Management

Regulatory compliance is always top of mind for mortgage companies, which is why many are leveraging AI to ensure it. AI technologies assist mortgage lenders in meeting requirements and managing risk effectively. AI-powered mortgage compliance solutions monitor regulatory changes, analyze loan documents for violations, and identify potential risks.

Property Valuation & Risk Assessment

Mortgage companies are also using AI algorithms to assess property valuations and risks accurately. The technology can effectively analyze property data, market trends, and comparable sales. And thanks to machine learning models, it can provide mortgage lenders with reliable property valuation estimates.

Predictive Analytics for Market Trends

Organizations in the mortgage industry are taking advantage of AI-powered predictive analytics tools to analyze market trends, economic indicators, and demographic data. With this information, companies can forecast future developments in the mortgage industry and gain insight into interest rate shifts, housing market dynamics, and borrower preferences.

Benefits of AI in the Mortgage Industry

Now that you know how organizations are using mortgage artificial intelligence, you’re likely wondering what you can gain from joining them. Here are just some of the benefits your organization can achieve by adopting mortgage AI solutions:

Increased Efficiency

Mortgage processes have always involved mountains of paperwork and tedious manual tasks. They have notoriously led to lengthy processing times and increased chances of errors.

Fortunately, with AI-powered mortgage automation solutions, you can reduce manual functions and errors to significantly enhance operational efficiency. A recent Fannie Mae survey found that 73% of mortgage lenders’ primary reason for adopting AI is actually to enhance operational efficiency, making this a benefit you shouldn’t overlook.

Improved Customer Experience

In today’s digital age, customers expect fast support and seamless, personalized experiences throughout their mortgage journeys. And mortgage artificial intelligence technology can help you meet these expectations.

Unlike human workers, AI tools like chatbots are available around the clock. They can answer borrower questions and provide recommendations on any day, at any time.

However, some inquiries still require a human touch. Artificial intelligence tools can help there, too. Since they can be used to gain intelligent, real-time insights, your staff can leverage them to improve response times without risking response quality.

Better Decision-Making

Those intelligent, real-time insights also help mortgage leaders make better decisions faster. With valuable information at your fingertips, you can easily make data-driven decisions you feel good about. These decisions may range from loan pricing updates to portfolio management to borrower preferences and everything in between.

Reduced Fraud Risks

Mortgage fraud is a prevalent – and costly – issue for lenders. A recent study uncovered that mortgage firms spend $4.20 for every $1.00 they lose to fraudulent activity.

Luckily, artificial intelligence can help you prevent fraud – and fraud-related expenses – altogether. AI-powered fraud detection systems employ advanced algorithms to analyze datasets and identify suspicious patterns or anomalies indicative of fraudulent behavior. By flagging potential risks in real-time, these systems enable lenders to take proactive measures to prevent fraud.

Decreased Costs

In addition to reducing fraud-related expenses, mortgage artificial intelligence technology can help you minimize operational costs. When you leverage AI, you put machines to work to complete tasks that, otherwise, would require human intervention.

In other words, you free up your employees’ time for higher value tasks that machines can’t complete on their behalf. This means you can get more work done in less time and avoid having to hire new employees during high-volume periods.

In fact, a recent survey revealed that AI tools save employees over six billion hours and, in turn, over $273 billion annually.

The Key to Successful Mortgage AI Adoption

Contrary to popular belief, artificial intelligence shouldn’t be used in place of human employees. For best results, it should be used in addition to human employees.

Humans play a crucial role in effectively driving innovation as well as ensuring responsible AI implementation and long-term use. Therefore, a human-in-the-loop approach is key to success.

Now, you might be wondering what “human-in-the-loop” means. Simply put, it’s a collaborative framework in which humans and machines work together to handle complex, nuanced, or ambiguous tasks that technology can’t effectively handle alone.

This approach ensures that AI technologies augment human decision-making rather than replace it entirely. Your human mortgage experts can provide context, interpret results, and make judgment calls where AI algorithms may fall short. This collaborative model not only enhances the accuracy and reliability of AI-driven solutions but also maintains transparency, accountability, and ethics in decision-making processes (a must-have in the mortgage industry).

The human mortgage experts we’re referring to can be internal staff members, third-party professionals, or a combination of the two. Many organizations are turning to third parties who offer both the mortgage AI technology component and the mortgage process outsourcing services component.

MetaSource: Your Mortgage Process Outsourcing & Technology Partner

With a partner who brings the best of both worlds, you can rest assured that you’ll receive the complete solution you need to ensure mortgage compliance, boost productivity, manage risk, reduce costs, and, ultimately, reach your goals.

And you’re in luck because MetaSource is that partner. We specialize in mortgage process outsourcing and automation technology solutions, including:

Contact us to speak to an expert and learn more about how our solutions can help your organization succeed.

Contact us to learn more

Contact us today