The Koscom Financial Business Division said on the 28th that it will move to systems using artificial intelligence (AI).
The Koscom Financial Business Division said it is expanding AI adoption around three strategies: development efficiency, operations optimization, and external commercialization. Through this, it plans to establish an AI-based development and operations framework and strengthen business competitiveness.
First, in development efficiency, AI is being applied to code generation based on data structures and business rules, automated impact analysis, and converting C-based systems to Java.
In particular, it said it is improving productivity across development by using large language models (LLMs) to automate code generation and analysis and automatically identify the scope of impacts from changes.
AI is also being applied throughout the entire process—from requirements analysis to code conversion and testing—for the fifth-generation PowerBASE system now being built.
Koscom said current development productivity has improved by about 30% through AI and said it expects overall work efficiency to rise to about 40%–50% if adoption is expanded to operations.
In operations optimization, AI is being applied to the customer requirements analysis process to reduce repetitive communications and improve processing efficiency.
On external commercialization, AI features are being added to the PowerBASE-based mobile trading system (MTS) to expand services such as tailored analysis for retail investors, news summaries, and investment insights.
Going forward, it plans to expand this into a subscription-based service revenue model and to continuously identify business opportunities linked to the PowerBASE business structure.
Based on these results, Koscom will expand the scope of AI use, continue improving efficiency across development and operations, and spread it to companywide work innovation.
Jeong Gi-u, managing director of the Koscom Financial Business Division, said, "We are improving development efficiency and quality at the same time through an AI-based transition," and added, "We will expand the scope of AI use around the three strategies now underway and develop it into a core technology that supports next-generation system transitions in finance."