Revolutionary Improvement in Financial Data Acquisition Procedures for Credit Evaluation
Reduced Waiting Time for External Agency Input Previously Taking Several Days
Credit Evaluation Conducted on the Same Day Without Separate Request Procedures

BNK Gyeongnam Bank, Industry's First Successful Establishment of 'AI OCR-Based Integrated Credit Evaluation Management System' View original image


[Asia Economy Reporter Kim Hyo-jin] BNK Gyeongnam Bank announced on the 24th that it has successfully established the banking industry's first "Artificial Intelligence Optical Character Recognition (OCR)-based Integrated Credit Evaluation Management System."


The AI OCR-based integrated credit evaluation management system is a digital technology that combines an AI OCR system, which applies artificial intelligence (AI) deep learning methods, with a solution that reads characters using light.


BNK Gyeongnam Bank completed the establishment of the AI OCR-based integrated credit evaluation management system just over two months after starting the first phase of the project in April, which involved selecting tasks for acquiring and inputting credit evaluation financial data.


With the establishment and implementation of the AI OCR-based integrated credit evaluation management system, the procedure for acquiring financial data for credit evaluation has been dramatically improved.

In particular, immediately upon acquiring credit evaluation financial data, Samsung Nexfinance's deep learning-based OCR solution, the text and image recognition technology AICR (Samsung SDS Manufacturing), converts paper document images into digital data. The credit evaluation system then automatically verifies consistency before storing the data, eliminating concerns about input errors.


Additionally, the waiting time for external institution input, which previously took several days after acquiring credit evaluation financial data, has been shortened. Credit evaluations are now conducted on the same day without separate request procedures, improving not only work speed but also employee satisfaction.


BNK Gyeongnam Bank expects that with the establishment and implementation of the AI OCR-based integrated credit evaluation management system, manual work risks will be drastically reduced, annual cumulative work hours will be cut by more than 21,000 hours, and cost savings exceeding 600 million KRW will be realized.


Going forward, in cooperation with Samsung SDS, the bank plans to continuously promote digitalization and automation that combine AI technology and process innovation, including automated collateral evaluation and batch automatic deposit of payroll transfers in the second half of the year.



Choi Woo-hyung, Group Head of the Digital Finance Division, said, "The establishment of the AI OCR-based integrated credit evaluation management system has laid the foundation for the digital conversion of paper documents. We will use this as a driving force for process automation and accelerate digital transformation."


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

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