- Korean companies will accelerate the transformation of AI jobs. 77% of leaders expect digital work to increase the capacity of their workforce within 12-18 months.
- KB Life and Hanwha will increase efficiency and enhance collaboration with Copilot and Low-Code agents.
- LG Electronics and SK Innovation apply agent AI to manufacturing for data analysis, quality improvement and process optimization.
- AmorePacific, Emart, Posco International and Hanwha Qcells leverage organizational knowledge to transform decision-making and accelerate innovation across business units.
September 25th, 2025 – Microsoft will unveil success stories from Korean frontier companies that integrate agent AI throughout their operations, transforming and accelerating business outcomes.
Microsoft supports customers and partners in major global industries, including over 85% of Fortune 500 companies, in driving business transformation under the “AI-First” strategy.
In Korea, AI jobs conversion is accelerating. According to Microsoft's Work Trend Index 2025, released in May, 77% of South Korean leaders hope that digital work will expand their employees' capabilities within the next 12-18 months.
Amid this trend, diverse industrial organizations (KB Life, △LGElectronics, △SK Innovation, △AmorePacific, △emart, △Posco International, △Hanwha, and △Hanwhaqcells) have achieved measurable business impacts.
KB Life Expand Microsoft 365 Copilot Companywide to streamline core tasks such as document processing, meeting notes, and scheduling. By automating large document summary and iterative processes, insurers will significantly increase speed and productivity, while simultaneously expanding their use of AI through agent development and change management training.
LG Electronics' HS Division We have developed Chatda, an enterprise-scale big data analytics AI platform powered by Microsoft Azure and Azure Openai. LG Electronics' HS division has dramatically accelerated this speed with CHATDA, improving product quality, ensuring customer insights, through vast amounts of data collected from tens of millions of devices around the world.
Recently, CHATDA has applied the concept of agent AI to improve quality of service through question classification, code generation, and automatic answers. Furthermore, by extending its scope to unstructured data and documents, internal R&D knowledge and expertise flows faster within the company, thereby contributing to faster R&D and increasing competitiveness. CHATDA has evolved into an AI agent platform that connects the core intellectual assets of the division with AI, enhancing the competitiveness of LG's home appliance business.
SK Innovation It employs a generation AI platform based on Microsoft Azure, applying AI to a variety of tasks in the purification and petrochemical sector. As a result, repeated, time-consuming tasks such as searching and analyzing engineering documents, processing data, and writing reporting are performed much easier and more efficiently. Additionally, by linking Power Automate, Azure Openai and teams with collaboration tools, the company has created an environment that automates repetitive tasks and supports intelligent workflows. Furthermore, as the foundation for employees to directly utilize and develop AI spreads, a culture of field-driven AI innovation is taking root.
AmorePacific We have developed an AI Beauty Counselor (AIBC) that offers personalized beauty consultations based on Microsoft Azure Openai and designed utilization strategies to ensure stability, safety and quality. By building an agent AI architecture in which professional agents integrate field data with internal systems, the company optimizes workflows and improves the professionalism and quality of responses while establishing a collaborative network between AI agents and people.
emart Microsoft 365 Copilot and Power Platform combine to automate repetitive tasks to improve efficiency across stores and headquarters. Employees are increasing the efficiency of their departments, including HR FAQ chatbots and agricultural market price search tools for buyers, while also promoting innovation in buyer tasks by linking with ERP data. Selected personnel within each team will directly design the direct design agents needed by the team, with support from IT departments, thereby enabling practical and customized automation. These changes go beyond simple Q&A to reduce unnecessary work, automate core tasks, and spread innovation in customer service and overall internal operations.
Posco International We have built a system that analyzes and utilizes enterprise data via a data platform based on Microsoft Azure fabric to improve data management and operational efficiency. Additionally, by using natural language query data extraction capabilities and Power BI, Copilot and Azure Openai, the company reviews an environment in which employees can analyze data and apply predictive models, thereby enhancing AIL and data-driven decision-making.
hAnwha We have introduced AI agents based on Copilot Studio to automate department-level tasks related to internal knowledge, increasing both security and productivity. The company operates agents such as “Management Reporting Agents” that support executive reporting, and “Environmental Regulation Agents” that automatically review compliance. Hanwha is now evolving these into autonomous AI agents, accelerating corporate-wide AI innovation.
hanwha qcells We use a variety of AI and IoT solutions such as Microsoft Azure AI, Power Platform, and Fabric to innovate our business models through software-based expansion and real-time energy optimization in our energy value chain. It implements AI automation cases specialized for the energy industry, including analyzing solar and energy storage permit documents, forecasting energy savings, and forecasting grid service revenues. In fact, AI-based simulations and automated workflows accelerate time to market by more than 30%, achieving concrete results such as energy costs, carbon emissions, and improved grid stability.
“AI now goes beyond being a simple standalone solution for becoming a digital colleague integrated across enterprise systems. We are witnessing the rapid spread of AI innovation across all areas of our work, transforming.”
