Mortgage lenders face growing pressure to deliver faster and more personalised customer experiences. Rising borrower expectations, broker-led distribution models, and the need to modernise legacy systems are forcing lenders to rethink how lending journeys are designed.
According to nCino, lenders must find ways to balance personalisation, efficiency, and regulatory compliance while scaling operations. The topic was explored during a recent webinar featuring Casey Williams, general manager of nCino Mortgage, and Natalie Stacey, head of EMEA mortgage product at nCino.
The discussion highlighted how changing customer expectations, improved data use, and artificial intelligence are shaping the future of mortgage lending.
Borrower expectations are rising
Borrowers increasingly expect the same level of convenience and transparency they experience when interacting with digital platforms in other sectors. Faster responses, clear communication, and personalised offers are becoming standard expectations.
However, many mortgage processes remain fragmented. Legacy systems and disconnected workflows often result in application journeys that feel transactional rather than tailored to individual needs.
Williams noted that this lack of personalisation can lead to lower retention and increased abandonment during the application process.
Improving personalisation often begins with better data integration. Without unified customer data, lenders struggle to build a complete view of borrowers or tailor lending journeys effectively.
Personalisation starts with better data
Modern lending platforms can use existing customer data to streamline the application process. Pre-populating forms, pre-screening eligibility, and recommending suitable products can help reduce friction for borrowers.
At the same time, lenders must maintain flexibility in the process. When customers’ circumstances change, systems need to allow updates without forcing the entire application to restart.
Personalisation also extends beyond borrowers to the intermediary channel. In many markets, brokers originate the majority of mortgage applications. The tools and systems lenders provide to brokers therefore have a direct impact on the borrower experience.
Providing brokers with real time eligibility checks, transparent case tracking, and timely updates can significantly improve the overall lending journey.
AI is accelerating mortgage personalisation
Artificial intelligence is increasingly playing a role in simplifying mortgage workflows.
One example is document processing. Traditional mortgage applications often involve multiple rounds of document collection and verification, creating delays and administrative workload.
AI powered systems can now automatically verify whether documents are correct, confirm that they cover the required time period, and identify inconsistencies. This allows lenders to process information more efficiently while reducing manual review.
The result is not only a faster experience for borrowers but also greater operational efficiency for lenders. Staff can focus on complex underwriting decisions and relationship management rather than routine administrative tasks.
Looking ahead, Stacey pointed to the potential of agentic AI. These systems can identify reliable data sources, conduct checks automatically, and route cases to the appropriate teams when exceptions occur.
Personalisation and regulation can work together
While lenders often view personalisation and regulatory compliance as competing priorities, recent regulatory developments suggest they can reinforce each other.
In the UK, the Consumer Duty framework places strong emphasis on delivering good customer outcomes. This includes identifying vulnerable customers, communicating clearly, and ensuring products meet customer needs.
Providing borrowers with multiple product options tailored to their circumstances can improve transparency while also strengthening the audit trail required for compliance.
Starting the transformation
For lenders beginning their personalisation journey, the advice from nCino’s webinar participants was clear. Organisations should begin with small, measurable improvements rather than attempting to transform every process at once.
Understanding where friction occurs in the lending journey is a critical first step. Automating inefficient processes without first addressing underlying issues can simply accelerate existing problems.
As lenders face pressure from borrowers, brokers, and regulators alike, the ability to deliver personalised mortgage experiences is becoming a key differentiator in the market. Technology, data integration, and AI will play a central role in enabling that transformation.
