LG CNS Pushes Enterprise AI

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Jin Yo-han, head of the AI Center, speaks during the 'AX Fair 2026' held at the Parnas Hotel on May 27.

“Artificial intelligence is no longer a future possibility. It is already creating new business outcomes. AI is not a technology issue anymore -- it is about execution.”

Hyun Shin-gyoon, CEO of LG CNS, delivered the message in a welcome video at the 'AX Fair 2026' held on May 27 at the Grand InterContinental Parnas in Seoul. The event was held under the theme “Now in Action.”

The conference featured presentations from Jin Yo-han, head of the LG CNS AI Center, Nick Morales, Vice President at Cohere, John Sugihara, Head of AI Success Engineering at OpenAI, and Kwon Nam-oh, Forward Deployed Engineer (FDE) at Palantir. Speakers discussed “Agentic Transformation: Enterprise AI Reshaping Business Operations.”

Jin explained that while cloud computing reshaped the software industry into a market worth roughly KRW 957 trillion, AI is now targeting a much larger service market -- including legal, healthcare, consulting, and software development -- estimated at around KRW 14,700 trillion.

He added that companies must balance rapid innovation with the safe integration of AI into existing operations to remain competitive. According to Jin, businesses need both a “greenfield AI flywheel” focused on fast innovation and a “brownfield AI operations flywheel” designed for stable deployment within existing systems.

LG CNS emphasized that successful AI transformation (AX) requires companies to pursue both approaches simultaneously: experimenting with new AI services using frontier models while also embedding AI into current systems, data infrastructure, security frameworks, and governance structures.

As part of its AX strategy, LG CNS introduced two key platforms -- “AgenticWorks” and “PhysicalWorks.” In August last year, the company unveiled AgenticWorks, an enterprise agentic AI platform, alongside its workflow innovation service “AXThink.” Earlier this month, LG CNS also launched “PhysicalWorks,” an integrated platform for robot training and operations, during its RX Media Day event.

During the event, LG CNS highlighted that AgenticWorks supports the entire AI workflow, including data knowledge management, model training, agent development, operational control, and cost optimization.

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Lim Eun-young, head of Agentic AI Business at LG CNS.

Lim Eun-young, head of Agentic AI Business at LG CNS, said that in the future, hundreds or even thousands of AI agents will work alongside employees across enterprises.

“What will become increasingly important is enabling companies to develop AI agents easily and securely, while also operating them in a stable manner,” Lim said.

LG CNS also introduced real-world applications of its AI services during the event. One notable example was “NH NongHyup Life AI Subscription Planning,” an AI-powered sales support solution. The company added that it is currently carrying out multiple agentic AI projects with major credit card firms as well.

John Sugihara, Head of AI Success Engineering at OpenAI, predicted that the growing adoption of AI agents will significantly reshape employee roles within organizations.

“Even employees without direct managerial responsibilities will eventually be managing AI agents,” Sugihara said. “Workers will need to think beyond simply completing assigned tasks. They will have to act more like managers who define goals for agents and evaluate the outcomes.”

LG CNS said its AI platform business is expanding through partnerships with global AI companies. The firm continues to strengthen collaboration with companies such as OpenAI and Palantir, while aiming to accelerate revenue growth in its AI business.

Hyun Shin-gyoon, CEO of LG CNS, said the company has been working with clients across finance, manufacturing, services, and the public sector not only to introduce AI, but also to ensure it delivers tangible business results.

“Through changes that are already underway and various real-world examples now in operation, customers will be able to experience the true essence of AI transformation,” he said.

· This article was translated using AI and was published after final review by the reporter.