The corporate landscape is witnessing a fundamental shift from Digital Transformation (DX) to what is now being termed AI Transformation (AX). While DX focused on migrating processes to digital formats, AX represents the deeper integration of artificial intelligence into the very fabric of organizational structure, service delivery, and user experience. This transition is no longer about merely adopting a novel tool, but about redesigning how businesses operate from the ground up.
To address this urgent need for practical implementation, a series of specialized conferences are scheduled throughout April to provide a roadmap for companies struggling to move from theoretical AI adoption to tangible operational results. These events aim to bridge the gap between high-level generative AI hype and the “execution phase,” where AI creates measurable value in sectors ranging from manufacturing and law to marketing and public infrastructure.
The shift toward an AI Transformation (AX) strategy is driven by the emergence of “AI-native” operations—where AI agents act not as assistants, but as digital workers capable of autonomous execution. This evolution is characterized by a move toward agentic AI and multi-agent collaboration, utilizing Large Language Models (LLMs) to handle complex, domain-specific tasks that previously required constant human intervention.
The Evolution of Hyperautomation and Digital Workers
On April 17, the “AX & Hyperautomation Korea 2026-Spring” will convene at the El Tower to explore the frontier of AI-native automation. The industry is moving beyond the automation of simple, repetitive tasks toward a model where AI manages the entire workflow. This involves the integration of Intelligent Document Processing (IDP), low-code/no-code platforms, and specialized domain AI to reshape decision-making structures.
A critical component of this transition is “Agent Orchestration.” As companies deploy multiple AI agents to handle different parts of a business process, the challenge shifts to governance—ensuring these agents operate within set parameters and maintain data integrity. The conference will focus on how to transition from a tool-centric approach to a “digital worker” model, where AI agents are integrated into the organizational chart to drive productivity.
Bridging the Implementation Gap: From Theory to Practice
Despite the enthusiasm for generative AI, many organizations report a “performance plateau” where the initial deployment of AI does not lead to expected productivity gains. This is often due to a failure in “environment design”—the failure to align AI capabilities with actual business workflows.
To combat this, the “AX Best Practice Conference” on April 23 will be held online, focusing on verified success stories. The session will highlight how AI has been successfully implemented in knowledge search, voice technology, legal services, and manufacturing. By analyzing these real-world applications, the event seeks to provide a blueprint for how AI can be operationalized to create actual ROI rather than just experimental prototypes.
Parallel to the online event, a physical seminar on AI-native corporate transition will take place in Jamsil on April 23. This session is specifically designed for executives and practitioners who have set a direction but are struggling with the “how” of execution. Major industry players, including Samsung SDS, Woowa Brothers, and MyRealTrip, will share their experiences in redesigning data governance and organizational structures to support an AI-first culture.
Redefining Creative and Collaborative Workflows
The impact of AX extends deeply into the creative process. On April 24, a session in Gangnam will examine the “Journey of a Day with Figma,” focusing on how AI agents are transforming UI/UX design. The emergence of “Vibe Design”—where natural language is used to generate visual prototypes and code—is shifting the required skill set for designers. The focus is moving away from tool proficiency and toward the ability to articulate structural design language to an AI agent.
The series concludes on April 29 in Jamsil with a deep dive into “Claude Cowork.” This session will address the limitations of simple AI tool adoption by demonstrating “Harness Engineering”—the process of designing an AI environment tailored to a company’s specific business process. A key highlight will be the debut of the ‘MoAI-Cowork plugin’ developed by Kim Kwang-beom of Everyone’s AI, which aims to allow non-developers to architect AI-driven workflows for document creation and project management.
April AI Transformation Event Schedule
| Date | Event Title | Location | Core Focus |
|---|---|---|---|
| April 17 | AX & Hyperautomation Korea | El Tower | AI-Native Automation & Agents |
| April 23 | AX Best Practice Conference | Online | Industry-specific Success Cases |
| April 23 | AI Native Transition Seminar | Jamsil | Org & Governance Redesign |
| April 24 | Figma AI Agent Journey | Gangnam | AI-Driven UI/UX Design |
| April 29 | Claude Cowork Mastery | Jamsil | Harness Engineering & Workflow |
As AI evolves from a standalone technology into a core piece of corporate infrastructure, the ability to execute a successful AI Transformation will likely separate market leaders from those left behind. The upcoming April events provide a critical touchpoint for professionals to move beyond the conceptual and into the practical application of these technologies.
Further details and registration for the full conference schedule can be found through the official event portal at conference.etnews.com.
We invite you to share your thoughts on AI transformation in the comments below. How is your organization handling the shift from DX to AX?
