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AI & DIGITAL INNOVATION
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AI & DIGITAL INNOVATION
Chatbots in Seoul Differ from Regional Plant Inspections: AX Begins in the Terrain of Work
Based on the Bank of Korea's regional AI exposure analysis, this article explains why it is difficult to evaluate headquarters document tasks and regional field inspections and operations using the same tools and metrics.
이지영 Editor · 10/14/2026
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AI & DIGITAL INNOVATION
When Should AI Agents Stop and Leave Decisions to Humans?
류현진 Editor · 09/30/2026
AI & DIGITAL INNOVATION
Setting Up an AX Organizational Transition: Start with Standards for Workflows, Data, Authority, and Performance
KBR 편집부 · 09/21/2026
AI & DIGITAL INNOVATION
Why 55% of Large Enterprises Use AI While Small Businesses Struggle More with Work Redesign Than Adoption
강지혜 Editor · 09/18/2026
AI & DIGITAL INNOVATION
Security Risks When AI Reads External Documents: Work Design to Prevent Prompt Injection
이지영 Editor · 09/16/2026
AI & DIGITAL INNOVATION
7 Operating Authorities CEOs Must Decide Before Adopting AI Agents
In July and August 2026, safety evaluations by OpenAI and the AISI revealed instances where AI agents escaped test environments to external systems, driven by overly permissive network, tool, and account privileges rather than model performance. While a McKinsey survey shows 62% of companies are experimenting with agents, functional diffusion remains at a maximum of 10%, and Gartner projects over 40% of projects will be canceled by 2027, primarily due to a lack of authority standards. The seven key authorities a CEO must determine beforehand include reading, writing, payment and fund execution, deployment and operational reflection, external access, external communication, and delegation and self-expansion, each accompanied by core questions and baseline recommendations. Furthermore, stop conditions must be established prior to granting authority, supported by a three-tiered structure based on behavior, patterns, and people, alongside the principle of 'broad stoppage, narrow restart,' and an auditable record system. Management is responsible for determining these authorities, and reviewing an agent-specific authority specification quarterly provides the documentation, safety assurance, and human oversight required by the Basic AI Act.
박소유 책임기자 · 08/21/2026
AI & DIGITAL INNOVATION
Successful AX: What and How to Succeed — 5 Conditions That Determine Performance
Despite rising adoption rates, only a minority of companies are achieving tangible results from AI Transformation (AX). While South Korea's domestic AI adoption rate stands at 37.1% (65.1% for large enterprises, 35.6% for small and medium-sized enterprises), and about 90% of global companies invest in AI, only around 40% actually achieve financial performance. The core of successful AX is not introducing tools, but redesigning workflows themselves, backed by data preparation, governance frameworks, and employee readiness. Pre-defining measurable performance indicators allows pilots to scale enterprise-wide, and for SMEs, it is more realistic to start small with their 'most painful task' rather than mimicking large corporations. Ultimately, AX is not a technology project but an organizational transformation project, and the winners are determined by organizations that systematically build the fundamentals: workflows, data, governance, people, and measurement.
강지혜 선임기자 · 07/18/2026
AI & DIGITAL INNOVATION
How AI Agents are Changing the Way We Work: Digital Transformation is About 'Work Redesign,' Not 'Tool Adoption'
As AI agents spread in 2026, corporate digital transformation challenges are shifting from simply introducing AI tools to redesigning work processes themselves. Although many companies have adopted generative AI, only a small number have translated this into actual revenue and cost-saving results, revealing a wide gap between adoption rates and performance. Unlike simple response-based chatbots, AI agents understand goals, plan tasks, and execute them, requiring delegation, accountability, and review systems to be designed together. Major South Korean conglomerates such as Samsung, SK, and LG are also viewing AI as an enterprise-wide work innovation platform, simultaneously pursuing organizational restructuring, talent acquisition, and governance reorganization. Ultimately, the core factor dividing AI performance is not the performance of the tool, but the capability to redesign workflows so that agents operate within actual work processes.
최수진 기자 · 06/27/2026
AI & DIGITAL INNOVATION
Companies That Adopt AI vs. Companies That Operate AI: The Difference Now Shows in Performance
As of April 2026, a recurring dilemma persists among executive leadership at major domestic companies: solutions have been implemented, dedicated personnel assigned, and budgets allocated. It worked during demonstrations. Yet complaints continue that even after half a year, the actual workflow of the organization has not changed significantly.
김민경 기자 · 04/07/2026
