The system analyzes a range of data — including financial statements, company information and industry trends — and automatically produces a draft review opinion needed in the credit rating process for audited and non-audited companies.
Hana Bank said staff previously spent an average of more than 30 minutes analyzing indicators and writing narrative opinions, but the new system can generate a draft in about 10 seconds.
The bank expects the rollout to save more than 27,000 working hours a year across roughly 70,000 annual credit rating cases for audited and non-audited companies.
Hana Bank said the tool is an in-house model, with algorithms designed and implemented independently. Through collaboration among internal departments, it incorporated evaluation guidelines used by loan specialists to standardize review opinions more precisely and improve effectiveness. The bank described an in-house model as one planned, developed and operated directly using a company’s own staff and technology.
Hana Bank said it plans to expand automation across household and corporate loan reviews to accelerate the AI transformation of its lending operations.
A Hana Bank official said the project is intended to maximize efficiency through AI, raise productivity and help employees better understand customers and companies. The official said the bank will continue to reflect feedback from the field, apply AI to more work areas and develop the system in ways that provide practical help to branches and customers.
* This article has been translated by AI.
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