The role of AI in helping brokers and lenders navigate a competitive mortgage market

Thomas Chaplin, head of mortgages at nCino, explores how AI can equip brokers with the real-time insights they need to stay competitive and differentiate themselves from other brokers in the marketplace. 

Related topics:  Blogs,  Mortgages
Thomas Chaplin | nCino 
17th September 2024
Thomas Chaplin nCino
"AI can prioritise leads based on their likelihood to convert. This ensures that brokers focus their time and resources on the most promising prospects, enhancing their productivity and success rates. "

The mortgage market is as competitive as ever. With the base rate changing back in August, followed by a flurry of rate cuts coupled with customer expectations getting stronger, brokers and lenders always need to consider how to stay ahead. In this fast-paced environment, it’s no surprise that AI (and its various flavours) is emerging as a game-changer, transforming how brokers and lenders can operate and helping them proactively keep up with market changes.

Enhanced market intelligence

AI’s ability to process and analyse large volumes of data could revolutionise the mortgage industry, with many examples showing where it can be implemented. 

By summarising news and information regarding the economy, markets and financial trends, AI can equip brokers with the real-time insights they need to stay competitive and differentiate themselves from other brokers in the marketplace. This capability allows brokers to understand market trends, competitor offerings and, most importantly, customer preferences, enabling them to adjust their strategies swiftly and effectively.

Another significant impact of AI lies in its ability to identify and nurture potential leads. By analysing customer data and behaviour, AI can prioritise leads based on their likelihood to convert. This ensures that brokers focus their time and resources on the most promising prospects, enhancing their productivity and success rates. This same effect could be felt for those involved in direct-to-customer lending and how best to drive leads into their digital channels. 

The customer is king

In a competitive market, customer retention is crucial. The predictive analytics aspect of AI can analyse a customer’s financial situation and preferences to provide tailored mortgage product recommendations. This level of personalisation can help customers find the best mortgage deals quickly and accurately, improving satisfaction and gaining loyalty.

AI tools can guide brokers through application processes for complex specialist lending, ensuring that all necessary steps are completed accurately and efficiently. By summarising key application information and known facts about a customer, AI helps inform those involved in the decision-making process, making it easier to provide relevant, timely advice and lending outcomes. 

Early qualification and eligibility assessments are also essential in the mortgage process. Through early digestion of critical information about a customer or their property, AI can expedite these assessments, reducing the time it takes to reach a decision. Sometimes, the time to "no" is just as important as the time to "yes," allowing brokers to quickly move on to more promising opportunities.

Revolutionising operations

AI strategies are also the cornerstone of intelligent operations. In this case, intelligent operations refer to the use of advanced technologies, data analytics and process automation to enhance operational efficiency, the customer experience and decision-making processes. 

For lenders, this could mean creating dynamic pricing models that adjust interest rates and mortgage terms based on real-time market conditions and individual borrower risk profiles. Such models eliminate the need for manual adjustments, ensuring that lenders can offer competitive rates while maintaining profit margins.

It could also allow a lender to significantly increase efficiency and reduce costs, enabling them to compete on price with better margins. By automating routine tasks such as income verification, AI frees up time for brokers to focus on more complex activities like advising clients and building relationships or allowing underwriters to focus on the merits of the case versus unnecessary administrative tasks. 

AI can provide higher productivity that results in brokers and lenders being able to handle more clients and volumes without the need to add staff. Overall, the true value of AI lies in its ability to streamline the entire end-to-end mortgage process.

Conclusion

Much like with other industries, AI will be transforming how brokers and lenders operate in a competitive mortgage market. By enhancing market intelligence, streamlining lead generation, personalising customer interactions and improving operational efficiency, AI enables brokers and lenders to stay competitive and provide exceptional service. As the technology continues to evolve, its role in the mortgage industry will only become more significant, making it an indispensable tool for success.

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