AI in Banking Systems

Some people think the current banking system will stay stable and unchanged for a relatively long time because of how well-designed and mature it is, but the truth is cutting-edge technologies such as AI should be deployed as a supporting tool to help make banks competitive and relevant for customers, especially in the areas of fraud prevention, risk control, and customer communication. The time and energy saved can be used in finding high-quality investment projects, maintaining customer relations, and performing internal and external control, which are obviously more valuable than repetitive tasks. Getting AI processes to scale is relatively easier with all the algorithms and programs that are known. For example, the compliance costs of small banks account for an average of 7% of their non-interest expenses, most of which is the salary of employees, followed by data processing, accounting, legal and consulting fees. If banks use AI to cover these processes, the cost can be reduced.