Technology Mirror
AI Implementation to Save Banks $900m in Operational Costs by 2028

AI Implementation to Save Banks $900m in Operational Costs by 2028

The implementation of AI (Artificial Intelligence) in identity verification will reduce the average time spent per digital onboarding check from over 11 minutes in 2023, to under 8 minutes in 2028; dropping by 30%.

As AI becomes increasingly accurate, it reduces the number of identity checks referred to a human agent for review, and the need for ID photos to be retaken. This decreases the time taken for each verification, as well as the associated costs. The use of AI will also play a key role in protecting against emerging threats, such as synthetic identity fraud.

Juniper Research, the foremost experts in fintech and payments markets anticipated that widespread adoption of digital verification within banking, particularly mobile banking, will continue to drive digital onboarding revenue growth.

Despite the aforementioned increase in efficiency reducing the cost of each individual digital identity verification check, the growing volume of checks, particularly in developing regions, will offset this. As such, Juniper Research forecasts that total spend for banks will increase from $7.4 billion in 2023, to $9.9 billion in 2028; representing a 34% increase.

Report author Michael Greenwood explained: “Growth will be particularly strong in developing markets, where rising smartphone penetration is making mobile banking more readily available; driving growth in digital onboarding. To capitalise on this, verification vendors must develop onboarding processes that emphasise checks other than credit scores, such as mobile operator history, in order to maximise viability in emerging regions.”


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