Digital mortgage automation is quickly becoming the standard for the mortgage industry. We look at why it’s crucial for mortgage lenders to undergo a digital transformation before it’s too late.
UK mortgage approvals were at a 22-month low in April 2022. Affordability remains the most significant barrier. The average house in the UK currently costs more than eight times average earnings. While the average first-time buyer’s home costs more than five and a half times the average income.
Secondly, many are unable to demonstrate to lenders their ability to meet eligibility criteria. Following the global financial crisis of 2007/2008 regulation from the Financial Conduct Authority (FCA) and Prudential Regulation Authority (PRA) limited most home loans to a maximum of 4.5 times income or higher to no more than 15% of approved loans. Furthermore, lenders need to ensure that borrowers can afford repayments if interest rates rise, so banks must scrutinize what cash borrowers have left over after their regular outgoings have been accounted for.
Digital mortgage automation broadens affordability
There are a number of ideas banks are exploring to widen the options for first-time buyers. Some of these include:
40-year mortgages
More long-term fixed rate mortgages
95% mortgages
Intergenerational mortgages
Innovative approaches to loan-to-value lending
‘Low-start’ mortgages
How digital mortgage automation can help
Combining product innovation with digitization of the entire mortgage process from search and application through to approval could also transform eligibility and access. Banks and mortgage providers understand the value of integrating technology into their services, but often this goes little beyond providing a website or an app; digital involves truly integrating tech in all aspects of the digital mortgage automation process.
Ways that digital mortgage automation can help buyers:
Open banking
Self service
Harnessing APIs for a more seamless mortgage process
Artificial intelligence and machine learning
Real-time responses
Big data
Back-office automation
Mortgages on the go
All of these approaches and developments could go some way to saving the customer money. Improving the customer experience, tightening up back-office processes, and reducing hours spent on mortgage administration could also save the provider money which could allow the lender to offer cheaper mortgages to customers.
Some digital providers don’t charge their customers a fee to use their service, their model is to commission brokers to bring customers. The advantage of this is that it cuts the customers’ traditional setup costs in paying the lender to give them a mortgage on which they will pay a lot of interest over the mortgage. It also acts as an incentive for lenders to make sure the customers get the right product.
Many businesses transitioning to software-as-a-service (SaaS) subscription model can offer their customers more flexibility and options for payment. It makes it easier for customers to choose the best payment type to suit their financial capability and ensures an income for the company. In the mortgage industry, this could allow for a tiered model.
New providers can help borrowers develop alternatives to free up their finances to have the liquidity to purchase their first home. For example, Tembo has provided a facility where a family member can be involved to top up the borrowers’ deposits or underwrite the mortgage payments.
Regardless of what one single provider might be able to achieve for the customer, the digital process trending in the mortgage lending sector as a whole should allow for easier comparisons and competition. Through online tools, borrowers can quickly compare interest rates, loan terms, and different customizable solutions to match their individual requirements.
Ultimately, digital can drive innovation allowing lenders to respond to changing regulations or economics to package and deliver new products to borrowers fast.
Barriers to digital mortgage automation
While the benefits of digital to businesses and their customers are clear, lenders face a variety of challenges in implementing the many digital and artificial intelligence (AI) benefits in their operations. It’s a high-stakes process that demands an approach that fits with the business.
Given the challenges of core transformation, lenders and established banks with legacy systems need to consider the best approach given their systems and operations. Digital transformation is a hugely complex activity to execute. The business needs to work seamlessly between the frontline business, operations, risk policy, credit decisions, analytics, and the data that links everything together.
The question for large lending organizations is: do we build a bespoke end-to-end solution or buy in the technology and implement it fast? Core transformation may not necessarily be the best approach to improving customer service and increasing customer eligibility.
Instead, a digital on-top strategy that layers digital tools over existing products and operations could provide a more adaptable solution. It can minimize the risk involved while meeting new customer demands sooner.
To learn more about digital mortgage automation, book a demo.
FintechOS is the global leader in fintech enablement, on a mission to make fintech innovation available to every company. As the world grows increasingly complex, FintechOS strives to simplify and accelerate financial technology so anyone can build, launch, service, and expand new products in weeks, not months or years. The FintechOS platform empowers banks, credit unions, and insurers of any size to grow revenue, lower operating costs, and achieve a faster time to value without dependency on core infrastructure and costly tech talent. Headquartered in New York and London, FintechOS has partnered with some of the world’s best brands, including Groupe Société Générale, Admiral Group, Oney, eMag, Deloitte, EY, and PWC.