SK Telecom Expands AX AI Drive With No-Code Agents Across the Enterprise

SK Telecom (SKT) is accelerating its enterprise-wide AI transformation program, dubbed AX, with the slogan “Co-created change, AX.” The company intends to move beyond simply automating tasks and empower every employee to develop AI agents that drive business innovation.

On the roadmap unveiled to staff, SKT envisions a “one person, one AI agent” culture and has rolled out a set of platforms designed to be used without coding experience. The general-purpose “A-Dot Biz,” the marketing- and data-extraction–focused “Polaris,” and the network-data-analysis and coding-support tool “Playground” allow employees to formulate requests in natural language or assemble modules to generate practical AI agents for their work.

To embed AX into daily operations, SKT also launched AXMS, a support system designed to make innovation efforts more transparent. AXMS will publicly track proposals, progress, and feedback to boost knowledge sharing across the company.

The AX initiative has already begun to yield results. Since last month, about 180 ideas have been submitted through an AX ideas contest. A subset of these projects is being fast-tracked for development, with the goal of commercializing them in the third quarter and expanding their reach across the organization.

Beyond immediate projects, SKT is pursuing a structured, year-round education track, including frontier education, design camps, and bootcamps to raise practical AI skills. A hackathon is planned for the first half of the year to consolidate innovation, followed by a second AX project selection and awards in the second half to disseminate successful outcomes.

SKT cites concrete applications of AX in daily work. One example is “security coding verification automation,” where AI reviews code, suggests fixes, and helps prevent errors, reportedly reducing the administrator’s workload by about 30 percent per year (roughly 3,000 hours). Another is LITMUS, an AI-based location analysis solution that combines traffic and population movement data to boost municipal services and generate new business outcomes.

CEO Jeong Jae-heon described AX as rooted in practical problem-solving on the front lines rather than flashy technology. He said the emphasis on small, frontline improvements could create a powerful AX flywheel that accelerates SKT’s competitive edge.

Why this matters to U.S. readers: SKT’s approach reflects a broader trend toward bottom-up, platform-enabled enterprise AI adoption in large organizations, with potential implications for the U.S. market. The emphasis on no-code or low-code AI tools, internal AI agents, and transparent project governance could influence how American firms pursue workforce reskilling, data governance, and cross-functional AI deployment. SKT’s projects also touch on areas with global relevance, including security-focused automation, network analytics, and smart-city data applications, which may intersect with U.S. tech partners, cloud providers, and policy considerations around AI in business practice and supply chains.