PATENTED AI AGENT ORCHESTRATION TECHNOLOGY
SKYNET PDCA AI
SKYNET PDCA is a patented technology that applies the traditional PDCA methodology to an innovative AI agent system. This technology creates an intelligent collaboration system by organically connecting multiple specialized AI agents and various Large Language Models (LLMs) to solve complex problems. It automatically drives and consolidates the complex sub tasks required to answer a single-format question.
WHAT is PDCA?
PDCA stands for Plan, Do, Check, and Act, which is a cyclical methodology for process improvement.
Plan
In the Plan phase, the current situation is analyzed to identify problems, and improvement goals, specific implementation plans, expected results and evaluation methods are defined.
- Analyze the current situation and identify problems
- Set improvement goals
- Establish specific implementation plans
- Define expected results and evaluation methods
Do
In the Do phase, the planned content is actually implemented while data is collected and recorded and everything is monitored to confirm that it proceeds according to plan.
- Actually implement the planned content
- Collect and record data
- Monitor whether everything is proceeding according to plan
Check
In the Check phase, implementation results are analyzed to verify goal achievement and identify differences from the plan, and unexpected problems are discovered.
- Analyze implementation results
- Verify goal achievement
- Identify differences from the plan
- Discover unexpected problems
Act
In the Act phase, improvements are derived based on the analysis results, successful changes are standardized and established, countermeasures are developed for inadequate areas, and the next PDCA cycle is prepared.
- Derive improvements based on analysis results
- Standardize and establish successful changes
- Develop countermeasures for inadequate areas
- Prepare for the next PDCA cycle
Gradual Improvement Through Continuous Repetition
The PDCA cycle is characterized by achieving gradual improvement through continuous repetition. This methodology is used in various fields such as quality control, project management, and business process improvement. It is particularly practical in that it can start from small-scale attempts and gradually expand.
SKYNET PDCA β Patented AI Agent Orchestration Technology
SKYNET PDCA is a patented PDCA-methodology technology that automatically drives and consolidates the complex sub tasks required to answer a single-format question. Horizon AI Workflow, Horizon AI Tools, and Expert LLMs are connected into a single intelligent collaboration structure.
- HORIZON AI WORKFLOW
- HORIZON AI TOOLS
- EXPERT LLMs
Industry Applications
This technology can be applied in any industry that needs to handle complex data and situations.
- Manufacturing & Quality Control β Optimize production processes with AI-based PDCA (Plan-Do-Check-Act), automate quality control processes and detect defects, and improve manufacturing processes with data
- Customer Service & Support β Real-time responses to complex customer inquiries, personalized service based on customer data analysis, and accurate information delivery with hallucinations removed
- Financial Services β Financial data analysis and risk management, automated regulatory compliance reporting, and investment strategy support using advanced reasoning and analysis
- Medical & Healthcare β Management and analysis of complex patient data, optimization of healthcare service workflows, and AI-based diagnostic support with data verification
- Education β Generation of customized learning content using Large Language Models (LLMs), personalized education based on learning data analysis, and problem solving with CoT (Chain of Thought) Automation
- Research & Development β Support for complex reasoning in data-driven research, collaboration systems built on Large Language Models, and data-driven decision-making for new product and technology development
- IT & SaaS β Scalable IT solutions on cloud and on-premise, improved service efficiency through integration of AI tools and workflows, and enterprise SaaS built with data integration and analytics tools
- Public Sector & Policy β Policy development leveraging complex data contexts, AI for fact-checking and data-driven decision-making, and improvement of public services through large-scale data analysis
- E-commerce β Customer behavior data analysis and personalized recommendations, order management and inventory optimization, and real-time customer support with automated inquiry handling
- Enterprise Business β Integration and management of complex enterprise data, workflow automation and productivity gains, and AI agent-assisted communication in large-scale collaboration environments
Delivery
SKYNET PDCA can be deployed in both cloud and on-premise environments.
- Cloud
- On-Premise
Core Technical Components β Multi-AI Agent System
One of the core technical components of SKYNET PDCA: specialized AI agents are deployed for each domain and configured to collaborate with one another.
- Deployment of specialized AI agents for each domain
- Efficient collaboration and information exchange between agents
- Domain-optimized problem-solving capabilities
Core Technical Components β Specialized LLM Network
LLMs optimized for each field are connected as a network to carry out domain-specific reasoning and analysis.
- Utilization of optimized LLM models for each field
- Domain-specific reasoning and analysis
- High-performance computing through distributed processing
Core Technical Components β Supervisor LLM
A supervising LLM that coordinates and manages the overall process, handling task prioritization, resource allocation, result integration, and quality control.
- Coordination and management of overall process
- Task prioritization and resource allocation
- Result integration and quality control
PDCA-Based Circular Process
SKYNET PDCA cycles through the four phases of Planning, Do, Check, and Act to raise the accuracy and quality of results.
- Planning Phase β In-depth analysis of user queries, solution strategy development, and subtask definition and allocation
- Do Phase β Task execution by specialized agents, real-time data collection and analysis, and generation and sharing of intermediate results
- Check Phase β Verification of result accuracy and consistency, quality metrics evaluation, and identification of improvement areas
- Act Phase β Process optimization based on feedback, agent performance enhancement, and preparation for a new cycle
Technical Advantages
The technical advantages provided by SKYNET PDCA are as follows.
- Automated task decomposition and allocation
- Real-time LLMs collaboration and coordination
- Continuous performance improvement
- High scalability and flexibility
- Accurate and reliable results delivery
- Removal of hallucinations and reasoning fact-check
- Available as cloud based or on-premise
Technology
- LLM BuilderLinkbricks Horizon-AI LLM Builder: a new standard for language model development. The Linkbricksβ¦
- LLM ServerLinkbricks Horizon-AI Server: a high-performance AI model deployment platform. The Linkbricks Hoβ¦
- LLM WorkflowLinkbricks Horizon-AI LLM Workflow: an innovative solution that realizes business logic throughβ¦