For many years, the UK’s mortgage industry has been characterised by a certain consistency. Financial institutions and banks regularly grapple with an immense volume of loan applications. The process for originating loans has remained largely unaltered, even as the request for loans has surged at a rapid pace.
In response to this dynamic, UK lenders are turning to digital transformation. This transition is propelled by the desire to enhance the management of customer relationships and improve client satisfaction, both of which have been negatively impacted by the inefficiencies embedded in the conventional systems.
The mortgage industry in the UK is set for disruption thanks to the rise of Artificial Intelligence (AI) technology and Machine Learning (ML) algorithms. One of the main problems faced by the mortgage industry is the high cost of loan origination.
The average cost of mortgage origination is a staggering £4,000 per loan. There is also a lack of transparency in the loan origination process, which can damage customer satisfaction. Other issues include inefficiency in loan approval processes and lack of coordination among stakeholders.
AI-driven and ML-based technology promise to simplify these processes, reduce dependence on manual labour, and minimise errors.
This technology condenses the loan application and funding process into four simple, all-digital steps: digital submission of documents, automated data capture, review, and validation, decisioning, and offer processing. Using such technology, the underwriting time is reduced by almost half, the time to fund is lowered by three times, and the number of loans disbursed is increased by 25%.
AI can also bring about a more transparent lending process. AI-generated reports can make it easier for both lenders and borrowers to evaluate model performance, thus improving trust and strengthening customer relationships.
At the moment, Mortgage AI platforms are being used to reduce origination costs, reduce the time to fund, and enhance the borrowing experience. For example, Digilytics’ RevEl platform uses AI and ML to validate applications, assign underwriters algorithmically, and enable real-time tracking and alerting.
Government policies can have a significant impact on the digital transformation of the mortgage industry. An example of this is the Mortgage Guarantee Scheme launched by the UK government in response to the COVID-19 pandemic.
The scheme aimed to boost the housing market by reducing the deposit amount required to buy new homes to as low as 5%, allowing borrowers to take a loan worth up to 95% of the property’s value, provided the value does not exceed £600,0001. Government initiatives like these can encourage the growth and adoption of digital platforms in the mortgage industry.
Several firms are leading the charge in the digital transformation of the UK’s mortgage industry.
For instance, LendInvest, a mortgage marketplace platform, is a key player that utilises technology to streamline the mortgage process and provide a better customer experience. Similarly, Trussle and Habito are online mortgage brokers that leverage technology to help customers find the right mortgage products that suit their needs.
The integration of AI in the mortgage industry may lead to a shift in the job market. With AI and automation taking over some of the tasks traditionally performed by humans, such as loan origination and underwriting, there may be changes in the workforce. However, this does not necessarily mean job losses. Instead, the roles may evolve, requiring new skills related to managing and working with AI systems.
Blockchain technology has the potential to be a game-changer in the UK mortgage industry. With its transparent, secure, and decentralised nature, blockchain can improve the efficiency and reliability of mortgage transactions. Mortgage deeds could be stored on a blockchain network, which would increase security and eliminate the need for physical documentation.
Smart contracts, a blockchain feature, could be utilised to automate the execution of agreements when predefined conditions are met. For example, the transfer of property ownership could be automatically triggered when payment is received. This would significantly reduce the time and cost associated with manual contract enforcement.
Furthermore, blockchain could allow for more dynamic adjustment of mortgage interest rates. By recording and verifying all transactions and payments in real time, blockchain systems could allow lenders to adjust interest rates based on real-time risk assessments, making the mortgage process more flexible and responsive to market conditions.
While digital transformation is underway, significant challenges remain, such as the need for coordination among stakeholders and stringent industry regulations. Despite these hurdles, the adoption of AI and ML in the mortgage industry holds the promise of efficiency and customer satisfaction. As we move into the future, the ability to adapt and innovate will be key for the mortgage industry in the UK.
The impact of the UK’s Mortgage Guarantee Scheme is also significant in shaping the mortgage industry.