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.
KT targets enterprise AX market with AI Innovation Hub
A KT official explains the company's artificial intelligence transformation solution during a media briefing at its headquarters in central Seoul, Tuesday. Courtesy of KT
By Lee Gyu-lee
AI Innovation Hub to help clients to bring AI projects to deployment
KT is deepening its push into the enterprise artificial intelligence (AI) transformation market with its AI Innovation Hub designed to help companies move beyond pilot projects to turn AI investments into measurable business results.
Located at the company’s headquarters in Gwanghwamun, central Seoul, the facility serves as an end-to-end AI development environment. Corporate clients can define business problems, test AI models on proprietary data and refine outputs before committing to full-scale deployment.
“Companies often struggle to determine where to begin with AI adoption, or find that pilot projects fail to translate into real-world deployment due to various operational hurdles,” Jeon Seung-rok, KT’s senior vice president and go-to-market unit lead, said during a media briefing at its headquarters on Tuesday.
“The Innovation Hub is intended to address these challenges and help clients jointly define their AI transformation strategy.”
KT said about 200 companies have visited the facility since the hub opened last October, with more than 30 progressing to actual deployment or commercialization.
The company’s approach centers on integrating consulting, development and validation into a single workflow by offering a dedicated cross-functional AX Squad. The team works directly with clients to define use cases, build prototypes and verify return on investment within roughly six weeks.
The company said this model is intended to reduce the risk of projects failing to progress beyond the pilot stage and accelerate time to value.
“A small group of AI specialists works closely with clients to define and solve problems, operating like a task force,” Jeon said. “Engineers capable of deploying systems in real-world environments are directly assigned to client projects.”
KT also unveiled its proprietary AX Harness, an orchestration platform that coordinates multiple AI agents across planning, execution and quality control.
The company also provides development frameworks aimed at scaling AI beyond initial pilots.
Its forward-deployed engineer toolkit provides a standardized framework that helps enterprises build, deploy and operate AI systems at scale without having to redesign their architecture for each project. The AI-driven development system helps accelerate software development by embedding AI into coding, testing and infrastructure setup.
These tools are particularly geared toward industries with strict security or data regulations, such as finance and public sector organizations.
During the briefing, KT demonstrated how an AI agent could build a retail site analysis system from a single natural language prompt, generating thousands of lines of code and a data-driven dashboard within minutes.
The AI generated about 4,600 lines of code and produced a dashboard analyzing population density, foot traffic, market share and competitive intensity, recommending districts in Seoul for new store locations.
The company said the demonstration cost only around 1,000 won ($0.65) to 1,500 won to execute, adding that real-world deployments could deliver more sophisticated analysis by integrating internal data and application programming interface.
The company said it plans to further integrate the Innovation Hub, AX Squads and its AI platforms to support customers throughout the entire AI adoption process.