What Key Issues and Response Strategies Must Enterprises Not Miss in the AI-Agent Era? — “AI Agent Shift 2025” Talk by Park Jae-beom, CEO of Angle Company

On March 7, the “AI Agent Shift 2025” conference will be held at the Korea Advertising Culture Center in Jamsil, Seoul. The event will take a deep look at how AI agents will impact industry and business, and how to put them to work strategically.

AI agents are evolving beyond traditional chatbots into “agentic AI” that can think, learn, and collaborate with humans. On this trend, Sam Altman (OpenAI CEO) remarked that “compared with AI agents, ChatGPT is dumb,” while Stanford’s Andrew Ng stressed, “The most important tech trend of the future is AI agents.”

The conference will spotlight the evolution of AI-agent technology, enterprise adoption strategies, and digital-transformation case studies. Keynotes will be delivered by Prof. Oh-young Kwon of Konkuk University and Jeong-woo Choi, Technical Specialist at Microsoft Korea. Executives from leading companies—including 42Maru, MakinaRocks, and Angle Company—will share real-world deployment cases.

AI Agent Shift 2025 Specialist

In particular, Park Jae-beom, CEO of Angle Company Co., Ltd. (“Angle Company”), will outline the major challenges enterprises face when adopting AI agents—and practical solutions.

Below is a summary of Park Jae-beom’s talk.

“Key Issues and Response Strategies in the AI-Agent Era — Business Innovation and Strategic Utilization of AI Agents”

• Before the AI-Agent Era

  • Enterprises primarily used conversational chatbots to search for and expand knowledge with AI.

  • However, these systems largely performed simple, rules-based automation. They could not replace human manual work end-to-end, nor fully automate entire task segments.

• AI Agents in Today’s Enterprises (through Feb. 2025)

  • Perform activities (tasks) within unit processes.

    • Use “micro-intelligence” models that can replace parts of a unit process.

    • Focus on productivity gains and cost reduction.

    • In practice, today’s AI executes prescribed instructions, replaces portions of work, and assists human experts.

• Requirements and Common Patterns When Adopting AI

  • Faster integration with existing systems and data: Minimize the time it takes to connect to diverse enterprise systems and databases.

  • Understanding diverse data formats: Reduce manual preprocessing by enabling AI to understand text, images, audio, and other formats.

  • Business-logic–aware decision-making: Ensure the AI can reflect the company’s business logic in its decisions.

• Angle Company’s Proposed Solutions and Outcomes

  • Added revenue streams by providing new services to customers.

  • Scaled up business by automating entire work segments and handling large volumes of requests.

  • Reduced delay and loss by enabling faster, AI-supported decision-making.

• Multi-AI Agents

  • AI agents that organize real-world operations to improve both speed and quality.

  • Handle knowledge across multiple domains, evaluate the relative quality of generated hypotheses, and self-assess their reliability.

• Supervisor Agent

  • Manages the overall workflow so multiple specialized agents can collaborate.

  • Assigns tasks to each agent and orchestrates their work as an integrated process.

• Angle Company Client Examples

  • AI agents that replace outsourcing for small businesses and up to 70% of existing roles.

  • AI that removes delays in commerce-operations decisions and optimizes marketing and inventory conversion.

  • AI agents that automate course creation, content production, and learner support.

  • AI agents that eliminate manual bottlenecks hindering scale and automate decision-making to grow the business.

  • AI agents that use advanced reasoning to perform advertising pre-screening and suggest improvements.

  • AI agents that explain genomic analysis results conversationally and deliver the service experience.