Junggonara Sets Up Dedicated AX and Data Teams — First Drawing the Line Between AI and Human Roles

South Korean secondhand trading platform Junggonara has embarked on an AI transformation (AX) that reshapes the company's structure around AI. In June this year, the company appointed Ja-yoon Gong as Chief Technology Officer (CTO) and established dedicated AX and data teams within its tech organization. Through this, the company plans to introduce an 'AI-ready data' system—meaning the structuring and standardization of company-wide data.

Seung-ryeong Kwon, PM leading the AX squad and head of the Core Platform Development Team, explained that the squad's goal goes beyond simply providing employees with AI tools for their work. Rather, it aims to design and build agents optimized for the company's specific work processes and apply them to actual operations. He described the goal as "not raising the ceiling of what AI can produce, but raising the floor." In other words, the standard is ensuring that a certain baseline quality of output is achieved regardless of who uses the tool.

We drew the boundary first

Junggonara has clearly separated the areas AI will handle from those that remain with people. Team Lead Kwon explained, "For important areas like payments, or areas involving legal judgment where interpretation is required, we made sure AI clearly signals that a human must handle it—so the boundary between AI's domain and human responsibility is unambiguous." Under this structure, AI takes on repetitive or pattern-based tasks, while employees focus on decision-making.

The company also addressed organizational conditions. Team Lead Kwon emphasized that "AX succeeds only when the company's culture and way of working themselves change," noting that this is not something the development organization can drive alone—full support from management is equally critical. On the customer-facing side, the company overhauled its app in July, strengthening personalized recommendations and product discovery features, and revamped its trust index into a 'Safe Transaction Index.'

Implications for AX at Korean Companies

For companies considering AX, it makes sense to settle two things before choosing any tools. First is the boundary of which tasks to delegate to AI and which judgments to leave to people; second is designing the system so that the tool itself communicates this boundary directly to users. Junggonara kept payments and legal judgment on the human side. Which tasks each company keeps will differ, but if that list doesn't exist as a documented standard, the boundary ultimately falls to individual discretion.

The standard of raising the floor of output quality is also worth adopting as-is. There's one thing worth checking this week: compare, in practice, how much the quality of output varies when different staff members use AI to handle the same task. If that gap is large, standardizing the work process should come before adding more tools.

Source: [AT Interview] "Changing the Culture of Work Through AI"—Junggonara's AX Transformation