Domestic Financial Sector's Largest 1.25 Million Hours of Work Automated to Improve Efficiency
Advanced Integration of RPA and AI Technologies in Parallel

KB Kookmin Bank Achieves Automation of Up to 1.25 Million Hours of Workload, the Largest in the Domestic Financial Sector View original image


[Asia Economy Reporter Kangwook Cho] KB Kookmin Bank announced on the 11th that it has implemented automation of 183 tasks within the bank through 'Robotic Process Automation (RPA)' to improve work efficiency and focus on core tasks.


KB Kookmin Bank explained that the 183 automated tasks correspond to a total reduction of 1.25 million hours annually when converted to work hours. Assuming an average annual working time of 2,000 hours per employee, this means that simple repetitive tasks involving more than 600 employees have been automated through robot software.


Head office departments will reduce about 470,000 hours of workload, and branches will reduce about 780,000 hours. Employees at the head office will be able to focus more on core tasks, improving efficiency and productivity, while branches will save time on simple tasks, enabling them to provide higher quality service during customer consultations.


In addition, beyond the limitations of RPA, which applies only to rule-based simple repetitive tasks, artificial intelligence (AI) technology has also been integrated. For example, the 'Payroll Transfer Registration RPA task' using machine learning technology can automatically edit various forms of payroll transfer documents provided by customers to fit the internal system and register them, with employees only performing content verification and final transfer transactions.



A KB Kookmin Bank official said, "Through RPA, we will promote employees' work-life balance and overall organizational work efficiency, enhancing qualitative productivity to create an environment where employees can focus on their tasks," adding, "We plan to continuously expand business innovation projects, including RPA, to proactively respond to changes in the financial environment."


This content was produced with the assistance of AI translation services.

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