K Bank, AI Technology Applied to Innovate Business Processes

K Bank announced on the 12th that it has improved work automation and financial fraud prevention functions by applying artificial intelligence (AI) technology.

K Bank built an automation system to enable AI to process tasks efficiently and accurately, introducing it to areas such as money laundering risk assessment and deep learning OCR document automatic recognition. It explained that it analyzes customers' financial transactions to assess and manage money laundering-related risks while also increasing work efficiency.

AI deep learning technology is also utilized in financial fraud detection areas such as identity card authenticity verification. Deep learning facial recognition technology extracts facial features and compares them with the K Bank database to detect forgery or alteration. The detection results are delivered to relevant departments to prevent further damage. The system for detecting copies of identity cards has been strengthened to distinguish originals.

A customer-tailored content recommendation model has also been introduced. AI identifies customers' behavior patterns and deposit/withdrawal transactions to connect optimized products and content. For example, if a customer recently paid for home appliances or furniture, AI considers a high possibility of moving and recommends apartment mortgage loan products accordingly.

A K Bank official said, “We are achieving meaningful results with significantly improved efficiency by applying AI technology across all business areas,” adding, “We will continue to introduce innovative technologies such as generative AI like Chat GPT to provide tech-based services.”

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