AI
AX Partner: Bridging Business and Technology
AI Development
Turning strategy into action, ideas into systems
We leverage the latest large language models (such as GPT, Claude, and Gemini) and RAG technology to transform a company’s vast knowledge base into an intelligent system that can be put to immediate use.
Application of effective techniques to optimize the model training environment
RAG (Retrieval-Augmented Generation)
- Technology that enhances the accuracy and reliability of generative AI responses by referencing external knowledge bases
- Enhancing response accuracy by combining external knowledge base searches with content generation
Vector DB
- Technology for efficiently storing and managing training data, response results, and system logs
- Implementation of processes to automatically process and handle data in various formats and file extensions
LLM API Integration
- Provides text generation and Q&A services through real-time integration with large language models
- Optimizes data integration and training through fine-tuning
Key Services
Category
Knowledge Search & Q&A
Interpretation of Regulations and Terms & Conditions
Automatic Document Summarization & Analysis
Automated Report Generation
Definition
A system that searches for necessary information
within vast internal documents and answers questions
A system that interprets and explains
complex laws, terms and conditions, and regulations
in natural language
A system that extracts, structures, and summarizes the key points of long documents
A system that automatically documents
data analysis results to generate reports
Key Features
- Understanding natural language questions
- Real-time information retrieval
- Answers with cited sources
- Understanding technical terminology
- Analysis of conditions and exceptions
- Case-based explanations
- Ability to understand long documents
- Extraction of key information
- Generation of hierarchical summaries
- Template-based automation
- Integration with data visualization
- Consistent formatting
How It Works
- 1. User enters a question
- 2. RAG searches for relevant documents
- 3. LLM generates an answer
- 4. Answer is presented along with the source
- 1. Input regulations or terms and conditions
- 2. Analyze the meaning of each clause
- 3. Identify applicable conditions
- 4. Reinterpret in plain language
- 1. Input a long document
- 2. Analyze importance by paragraph
- 3. Extract key points
- 4. Generate a structured summary
- 1. Collect analytical data
- 2. Select a report template
- 3. LLM generates descriptive text
- 4. Automatically insert charts and tables
Use Cases
Compliance officers need to verify compliance with new regulations
Field staff need to understand complex internal control regulations
Reviewing hundreds of transaction anomaly detection logs generated daily
Preparation of the Monthly Internal Control Report
Key Benefits
- Reduce information search time by 90%
- Instant response
- Improving Work Productivity
- Reduced reliance on experts
- Improving Customer Understanding
- Prevention of Disputes and Complaints
- 80% reduction in document review time
- Quickly grasp the key points
- Faster decision-making
- Reduce report preparation time by 70%
- Ensuring consistency in formatting
- Enables staff to be reassigned to higher-value tasks
Core Technology
LLM, RAG, Vector DB, Semantic Search
LLM, Domain Fine-tuning, Legal AI
LLM, Extractive/Abstractive Summarization
LLM, Template Engine, Data Visualization
Key Data Sources
Internal documents, manuals, terms and conditions, FAQ
Laws, Terms and Conditions, Regulations, Case Law
Contracts, reports, meeting minutes, news
Databases, BI tools, and analytics systems