In Part 1, we explored the key features and basic workflow of AI Agents.
The autonomous situational judgment and problem-solving capabilities of AI Agents will drive revolutionary change across diverse industries, including finance, manufacturing, and e-commerce.
As we enter this era of AI Agents, discover the major challenges facing businesses and explore successful business innovation strategies through AI right now.
(*Missed Part 1? → Click Here)
[View the entire series👀]
① Key features and workflow of AI agents
② Application prospects by major industry and challenges facing enterprises (→ We're right here!)
💫 Prospects for AI Agent Utilization by Major Industry
Given their ability to autonomously assess situations and solve problems, AI Agents are expected to be utilized across diverse industries. They will accelerate innovation in various operational domains such as customer service support, corporate productivity enhancement, and business process management.
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Industry Sector
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Application Details and Expected Effects
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Public Sector & Infrastructure
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▪️Automation of public inquiries and administrative efficiency for public institutions and local governments
▪️Automation of various regulatory reviews
▪️Real-time traffic response, disaster prevention, efficient energy management
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Finance
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▪️Risk management including financial fraud detection and response to abnormal transactions
▪️Contributing to investment decision-making by aggregating and analyzing vast amounts of data
▪️Enhancing customer service efficiency and accessibility
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Manufacturing
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▪️Deriving supply chain optimization strategies, including inventory level monitoring
▪️Strengthening responsiveness to production equipment issues, reducing maintenance costs,
and streamlining operations
▪️Reduce defect rates and maintain consistent product quality and performance
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Distribution and E-commerce
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▪️Innovating customer experience through automated and streamlined customer interactions
▪️Analyzing customer interests and purchasing patterns to deliver personalized product
recommendations
▪️Optimizing inventory management and demand forecasting
▪️Analyzing transaction data to detect fraud and enhance payment security
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Healthcare
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▪️Establishing patient diagnoses and personalized treatment plans
▪️Comprehensive support for medical services, including automated appointment scheduling and
medical record processing
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Source: Compiled from media and research, Samil PwC Management Research Institute
💫 The AI Agent Era: Challenges Facing Enterprises
The current AI Agent market is dominated by global big tech companies and major LLM developers like OpenAI, Anthropic, and Google. These players have successfully reduced AI model costs and enhanced performance, thereby securing a strong market position. In Korea, telecommunications companies and platform firms like Naver and Kakao are also entering the AI Agent market one after another.
The AI Agent services they have launched or are developing can be broadly categorized into ▲general-purpose models and ▲special-purpose models specialized for specific domains. Recently, specialized AI tailored for particular industries or functions is emerging as a new competitive edge, surpassing the versatility of general-purpose AI.
Furthermore, in the still fragmented AI Agent infrastructure market, applying AI models to actual work requires integrating various tools and frameworks. Consequently, 'AI All-In-One development platforms' that simplify AI Agent development and operation are gaining significant attention.
AI Agents have moved beyond simple technological experimentation and entered a strategic execution phase for business growth. AI performance depends on the quality and quantity of data. The key to successful AI transformation lies in building a robust data infrastructure, including securing sufficient reliable data and enhancing it.
💫 Want to drive business innovation through AI?
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Here's what you can expect with XGEN!🔥
✅ Enterprise-Customized Generative and Predictive AI
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✅ Flexible, scalable architecture
Its open architecture rapidly incorporates the latest language models, enhancing agility. It integrates flexibly with existing systems, enabling enterprises to maintain leading competitiveness at all times.
✅ Effortless AI Utilization
Without complex coding, you can configure workflows using drag-and-drop, and seamlessly extend familiar document and task processes with AI, enabling anyone in the field to use it easily.
✅ Stable AI Operating Environment
Beyond PoC, it ensures stable operation in actual service stages through auto-scaling and standardized workflows. Its End-to-End management system provides scalability and reliability tailored to corporate needs.
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XGEN is currently receiving strong interest across diverse industries including finance, defense, and pharmaceuticals. By developing multimodal AI learning capabilities optimized for domestic enterprise characteristics, it achieves over 90% accuracy even in challenging unstructured data domains like charts and graphics.
In this era of AI transformation, accelerate your business innovation with XGEN!
🕶️Explore XGEN's Website → Click Here
※ Source
1. The Age of Agents: Giving Wings to AI, Samil PwC Management Research Institute, July 2025 → Clike here
2. AI Agent Innovation: Current and Future Outlooks Transforming Industries, Samjung KPMG Economic Research Institute, September 2025 → Clike here
3. State of the Agentic AI Market Report, ISG, September 2024 → Clike here
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