Mortgage brokers are increasingly turning to artificial intelligence tools to keep up with the rapidly changing lending market, as frequent price changes force advisors to race against time to secure mortgage deals for their customers.
In recent weeks, lenders have adjusted mortgage prices several times in short order, with some products being withdrawn just hours after they went on sale. Average mortgage rates currently sit at about 5%, the highest level in nearly 19 months, and brokers say the pace of change is putting significant operational pressure on them.
The challenge for advisors has moved from simply sourcing the right mortgage product to securing it before the deadline expires.
Pricing pressure creates urgency for brokers
Advisers say speed is far more important in the current market environment than in the past.
Some financial institutions adjusted interest rates several times within a few weeks. In some cases, products are discontinued on the same day they are released.
Traditionally, preparing a mortgage application takes time. Brokers must review documents, analyze bank statements, verify income, and complete compliance checks before a case is ready to be filed.
When lenders change their pricing rapidly, this traditional workflow can have a hard time keeping up.
Brokers are increasingly turning to artificial intelligence tools to help manage these tasks. Many of these systems use technologies such as optical character recognition and automatic data classification to extract information from bank statements, tax documents, and pay stubs in seconds.
AI can significantly reduce the time needed to prepare applications by identifying income patterns, categorizing expenses, and automatically organizing financial records.
Brokers report increasing number of applications
Some advisors say the use of AI-supported systems has increased the number of applications they can handle during market fluctuations.
Anoj Fernando, a mortgage broker at WIS Mortgages, processes 10 mortgage applications in a day. He attributes this feat to the reduction of administrative work through AI-driven automation.
Fernando said automating some of the document creation and data entry processes allowed the case to move forward more quickly at a time when lenders were changing interest rates frequently.
Meanwhile, David Clift, a mortgage broker with Greenstone Mortgages, said he completed two months’ worth of lawsuit filings in just two weeks.
Clift said the AI-supported platform has simplified tasks such as analyzing documents and preparing application data, allowing advisors to process cases more efficiently when speed is of the essence.
AI helps brokers stay ahead of market changes
Brokers say one of the biggest benefits of artificial intelligence is that it allows advisors to be more proactive in responding to market movements.
Some systems track market-wide basis adjustments and interest rate changes, rather than relying solely on manual lender updates. This allows brokers to identify opportunities early and act before products run out.
Rate changes are happening much more frequently now, so brokers often have to act quickly before the product is withdrawn.
In the past, brokers could spend most of the morning preparing a single application. Now the market can move within the same window.
We are starting to see a shift where Saturday morning mortgage applications are becoming a thing of the past. If your data isn’t ready by Friday afternoon, your trade may be closed before you’ve even finished your coffee.
AI streamlines the heavy lifting of document analysis and organizes financial data much faster than manual processes. It also helps brokers monitor changes in the market, allowing them to react sooner instead of reacting after a trade has already disappeared.
Technology supports advisors, not replaces them
Despite the increased use of automation, brokers stress that artificial intelligence remains a support tool rather than a replacement for advisors.
Applying for a mortgage still requires professional judgment, customer conversations, and suitability assessments. These responsibilities rest firmly with the advisor.
Instead, AI helps brokers handle the time-consuming administrative tasks behind each mortgage application.
As financial institutions continue to adjust pricing and interest rate expectations change frequently, many advisors believe technology that improves efficiency will become increasingly important.
In the current market environment, the challenge for brokers is no longer just identifying the right trade for their customers.
Be ready to secure that trade before the price changes again.
