Lee Gyu-lee is a business writer at The Korea Times, focusing primarily on IT & telecommunications, the Ministry of Trade, Industry and Energy and KOTRA. Prior to this, she has covered a wide range of cultural news, from film, television and K-pop to lifestyle and fashion.
LG CNS unveils next-gen AI ERP strategy with SAP
Nae Han-shin, head of the Enterprise Solution Division at LG CNS, speaks at the Business AI for ERP Summit in Seoul, Wednesday. Courtesy of LG CNS.
By Lee Gyu-lee
LG CNS said Thursday it is accelerating artificial intelligence (AI) transformation (AX) by integrating artificial intelligence into enterprise resource planning (ERP) systems in partnership with SAP.
The company said it co-hosted the Business AI for ERP Summit in Seoul on Wednesday, where it unveiled a next-generation ERP transformation strategy based on SAP Business AI. About 200 participants from manufacturing, logistics, retail and telecommunications industries attended the event.
SAP Business AI embeds AI into ERP systems that manage finance, procurement, production and supply chains, enabling automation of repetitive tasks and supporting data-driven decision-making. The technology allows AI to handle routine operations previously performed by employees and rapidly provide insights for management decisions.
LG CNS said it is strengthening its technological capabilities through collaboration with SAP to gain an early foothold in the AI-based ERP market. Since last year, the company has trained specialists in cooperation with SAP’s Asia-Pacific unit and earlier this year launched a dedicated ERP AX Business Unit.
The firm is also applying advanced technologies, including agentic AI, under its “AX on ERP” strategy to enhance workflow automation, improve efficiency and accelerate business process innovation.
At the event, the company shared practical approaches for generating tangible outcomes from AI-integrated ERP systems.
Nae Han-shin, head of the Enterprise Solution Division at LG CNS, said AI should be embedded as an operating system for organizations rather than used as a standalone tool.
“Beyond adoption, companies must fundamentally redesign workflows around AI agents,” he said.