AI Integration - Intelligent Solutions for Modern Business Challenges
Service Overview
For complex modern business challenges, we integrate AI technology as a practical solution. Beyond mere technology implementation, we analyze entire business processes to identify areas where AI can generate maximum value. Our approach centers on core technologies like LLMs (Large Language Models) and RAG (Retrieval-Augmented Generation), providing comprehensive coverage from design and implementation to ongoing operations.
Core Technical Domains and Problem Solving
1. RAG-Based Knowledge Utilization System Construction
We transform scattered documents and implicit corporate knowledge into secure, high-precision AI search and retrieval systems.
- Problem Solving: Streamlining internal inquiry responses, reducing access time to specialized knowledge, and automating new employee training material generation
- Technology: RAG architecture design and implementation, vector database selection, and establishment of security and access control mechanisms
2. Generative AI for Business Process Automation
We use AI to automate routine text generation, data analysis, and decision support processes, improving employee productivity.
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Problem Solving: Automated summarization of meeting minutes and reports, email and chat draft creation, and automation of data input and validation
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Technology: API integration with existing systems, prompt engineering optimization, and model fine-tuning (when necessary)
3. AI Model Operations and Monitoring (MLOps)
We provide the infrastructure necessary for developed AI models to function sustainably in production environments and continuously deliver business outcomes.
- Problem Solving: Early detection of model drift, operating cost optimization, and automation of model version control and deployment
- Technology: Data pipeline design (structured and unstructured), model monitoring dashboard development (React/Next.js), and CI/CD pipeline integration
Project Development Approach
Recognizing the inherent uncertainty in AI projects, we emphasize rapid PoC (Proof of Concept) in initial stages and continuous evaluation.
| Process | Overview | Expected Outcomes |
|---|---|---|
| Problem Definition and PoC | Define specific business challenges to solve. Conduct PoC with small datasets to verify feasibility and potential impact | Minimize initial investment risk and confirm technical feasibility |
| Solution Design | Based on PoC results, design optimal AI technology and integrated systems. Establish data collection and processing architecture | Create blueprints for robust and scalable AI systems |
| Development and Deployment | Leverage web development expertise (React/Next.js) to integrate AI functionality into user-friendly interfaces. Safe deployment to production environments | Rapid and stable social implementation of AI features |
Development Portfolio and Case Studies
Case Study: Multilingual RAG-powered "Employee Guidebook" Automated Response System
This project aimed to develop a high-precision knowledge search and response system based on an employee guidebook for overseas offices (in Spanish), streamlining responses to internal policy inquiries.
Using frameworks like Dify, we imported PDF-format guidebooks as Knowledge (vector database). We configured detailed system prompts for the LLM to respond to employee questions accurately and naturally in Spanish, based solely on provided contextual information. This enabled the LLM to function as a specialist, strictly adhering to guidebook content without relying on prior knowledge.
Results:
- Improved Response Accuracy: The combination of strict prompt design and knowledge retrieval (RAG) enabled the LLM to respond with high precision and reliability to questions about responsibilities and internal policies outlined in the guidebook.
- Enhanced Operational Efficiency: Reduced inquiries to HR departments and administrators, creating an environment where employees could quickly obtain accurate information through self-service.
- Established Multilingual Support: Achieved natural and intuitive responses in Spanish for documents heavy with technical terms and policies, significantly improving convenience for local employees.
Contact Us
We provide expert consultation on the feasibility, cost-effectiveness, and operational aspects of AI utilization in your business operations.