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April Fool’s Day is no laughing matter for the car lending industry in the UK.
The UK Supreme Court is starting its hearings on Tuesday 1st April, which should be the beginning of the end for what banks and other lenders will face in terms of compensation schemes that they will need to follow.
It is possible that if the FCA’s proposals are accepted, banks will be expected to proactively inform borrowers if they were mis-sold car loans and offer compensation. The size of the compensation bill is high with some projecting it will be add to a collective £44bn.
While the court’s decision is not expected until the summer, how the industry responds to the challenge could draw on how well the sector employs a mix of modern AI and automation to process any scheme efficiently and effectively for claimants.
What is going to be crucial is how the industry finds a solution to remedying a complex problem at scale and speedily. Those lenders who choose to leverage advanced technology should alleviate some of the pressure of processing these claims and gain tighter control on those operational costs that risk inflating the financial charges linked to this case.
But what are some of the steps banks could take to ensure they deliver on the scheme and remain ahead of the curve?
One tool will be generative AI (GenAI), which banks and other lenders have been exploring over the last two tears. But the car loan compensation requirement provides grounds to take this technology to the next level.
The technology can help lenders design and launch an effective automation-first end-to-end remediation process for car financing and more. Leveraging such tools in this way would also mean automation is maximised to effortlessly escalate any claim issues the relevant employees.
Applying intelligent AI and automation to improve decision-making and streamline customer communication would also prove vital while ensuring the effective management of compliance and transparency across the claims pipeline. This will help improve customer satisfaction and contribute to reducing unnecessary operational costs.
Although the passing of this proposal would apply financial pressure that’s unwelcome, the systems that need to be built quickly could be a template for how banks and lenders modernise customer engagement processes more widely. The intelligent use of AI and the rapid deployment of new technology would offer them a competitive advantage. But most importantly, it could futureproof such processes that will last well beyond the wrapping up of this scheme.
This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author.
Oleg Boiko Founder at Finstar Financial Group
03 April
Steve Marshall Director of Advisory Services, at FinScan
02 April
Shailendra Prajapati Associate AI Engineer at Compunnel Inc.
Samuel Crompton Associate Partner (Banking, Resilience and AI) at IBM
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