Samsung SDS to Deploy 175 AI Agents Across Woori Bank Operations
Samsung SDS won a contract to build an AI agent system for Woori Bank, marking the first large-scale deployment of AI agents in Korea's financial sector. The project will deploy more than 175 AI agents across corporate lending, asset management, internal controls, customer service, and process automation.
The bank expects the system to accelerate business processing by approximately 30%. Samsung SDS will launch the project in May, with initial deployment of roughly 90 agents in December, followed by phased expansion through August 2027.
How the System Works
AI agents powered by large language models will handle tasks that previously required manual work. Rather than answering questions, these agents will perform actions-approving loans, managing risk assessments, processing customer requests, and automating routine workflows.
Samsung SDS will use its FabriX platform to build the system and connect it to Woori Bank's existing infrastructure. The bank identified 29 core tasks across five business areas where AI agents can add value.
Infrastructure Upgrade Runs Parallel
Samsung SDS also secured a contract for Phase 3 of Woori Bank's IT infrastructure modernization. The work includes migrating systems from UNIX to Linux and optimizing operations for cloud environments.
The infrastructure project covers both core banking systems-those handling accounts, lending, and deposits-and channel systems that connect customer-facing platforms and other financial institutions.
What This Means for Banking Operations
Banks have long experimented with AI for customer support chatbots and data analysis. This deployment differs in scope: AI agents will operate across internal business systems, making decisions and executing tasks without human intervention at each step.
Il-jin Oak, Vice President of Digital/IT at Woori Bank, said the project represents a shift from "AI that asks and answers" to "AI that works and resolves issues." The bank aims to improve decision-making efficiency and risk management while freeing staff for higher-value work.
The timeline matters. Initial deployment in December gives the bank early feedback before full rollout. Phased expansion allows teams to adjust workflows and agent behavior based on real operational experience.
For finance professionals, AI Agents & Automation represents a shift in how banking infrastructure operates. Understanding how these systems integrate with existing platforms and data flows will increasingly shape technology decisions in financial services.
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