AI
AX Partner: Bridging Business and Technology
AI Development
We provide highly refined AI systems that ensure stable operation in real-world work environments, continuous performance improvements, and an optimal user experience.
ML Model
- Design and development of domain-specific machine learning models
- Implementation of various types of models, including prediction, classification, and anomaly detection
- Model performance optimization and operational stabilization
LLM & RAG
- Building Intelligent Services Based on Large Language Models
- Designing RAG (Retrieval-Augmented Generation) Systems for Leveraging Internal Corporate Knowledge
- Practical Applications: Document Search, Q&A, Automatic Summarization, and More
AI Agent
- Building AI agents capable of performing tasks autonomously
- Implementing task automation and decision-support systems
- Designing multi-agent collaboration systems
AI Implementation Process
Requirements Analysis & Design
- Definition of Business Objectives and KPIs
- Analysis of Current Processes and Identification of Areas for Improvement
- Assessment of Data Availability and Quality
- Design of Technical Architecture
PoC (Proof of Concept)
- Execution of Small-Scale Pilot Projects
- Verification of Technical Feasibility
- Measurement of Expected Performance and ROI
- Identification of Risks and Constraints
Development & Training
- Model/System Development
- Preparation and Preprocessing of Training Data
- Iterative Training and Performance Tuning
- Unit/Integration Testing
Integration & Deployment
- Integration with existing systems
- User interface development
- Security and permission configuration
- Staging environment testing
Operation & Monitoring
- Production deployment
- Performance monitoring dashboard development
- User feedback collection
- Continuous improvement
Maintenance & Enhancement
- Model retraining and updates
- Addition of new features
- Support for technology transfer and internalization
- Regular performance reviews
Key Features of Korea Expert’s AI Systems
Pragmatism
We choose the most suitable technology, not necessarily the latest one.
Iterative Approach
We start small to quickly demonstrate value and scale up incrementally.
Explainability
We build systems that can clearly explain “why a particular decision was made.”
Operational Stability
Stable operations are just as important as development. We take MLOps, monitoring, and incident response into account.
HITL (Human-In-The-Loop)
We aim to build systems that collaborate with humans, rather than having AI replace everything.
Business Areas
AI Agent-Based Intelligent Workflow Automation
It independently assesses and executes complex tasks such as contract analysis, loan review assistance, and asset management. It is a practical execution system that delivers optimal outcomes through multi-step reasoning.
- #AI Agent
- #WorkAutomation
- #Multi-Inference
- #HITL
- #LangChain
- #BabyAGI
- #API
LLM-Based Q&A and Automated Report Generation
By leveraging LLMs and RAG, we instantly retrieve the information needed from large volumes of documents and generate answers.
- #LLM
- #RAG
- #NaturalLanguageProcessing
- #Generative AI
- #DocumentSearch
- #QuestionAnswering
- #AutomatedReports
AI Model Development Platform
We design and develop customized ML models—including customer segmentation, persona analysis, index forecasting, and product recommendation models—and provide an MLOps environment that enables continuous performance monitoring and retraining.
- #DI CUBE ML
- #ML Model
- #AutoML
- #MLOps
- #Optimization
- #MyData
- #Hyper-Personalization
Big Data Collection and Analysis
We collect, transform, integrate, and analyze various types of data from the deep web and legacy systems to provide the data needed for strategic business decision-making.
- #BigDataPlatform
- #DMPs
- #RealTimeAnalysis
- #Cloud
- #OnPremises
AI-Based Automated Claims Calculation
It accurately calculates claims using the latest policy terms and calculation rules. It automatically generates calculation explanations tailored for reviewers and customers, thereby enhancing operational efficiency and building customer trust.
- #DI CUBE ECS
- #Insurance Claim Calculation
- #Policy Analysis
- #Claim Determination
- #AI OCR
- #Calculation Justification
AI Underwriting
During the insurance application process, AI automatically assesses the customer’s risk level and determines eligibility in real time. This reduces application cancellation rates and dramatically improves the accuracy and speed of underwriting operations.
- #DI CUBE EUS
- #DI CUBE SEM
- #Underwriting
- #Risk Assessment
- #Risk Management
Financial Fraud Detection & Internal Controls
We detect abnormal patterns in financial transactions in real time and block fraudulent and unauthorized transactions at an early stage. We proactively manage financial risk through an intelligent 24/7 monitoring system powered by multiple AI technologies.
- #DI CUBE FDS
- #Insurance Fraud
- #Fraud Prevention
- #Round-the-Clock Monitoring
- #Internal Controls
- #Risk Management
- #xAI
Industry-Specific AI Systems
We apply AI technology across a wide range of industries, including finance, insurance, public sector, retail, manufacturing, and healthcare.
- #AX
- #Digital Transformation
- #Domain-Specific