01
Knowledge capture
Make expert experience understandable to AI
Quality standards, engineering methods, enterprise experience and business rules are continuously structured into callable quality knowledge assets.
Standards
Methods
Rules
Quality Agents
Quality Agents
Built on quality data graphs, industrial knowledge and quality engineering methods, LinkedData Quality Agents transform quality expert experience into intelligent capabilities that can understand, analyze, execute and support decisions.
Quality AgentUnderstand · Analyze · Execute
Quality knowledge
Business rules
Expert experience
Quality data
Replicable professional capability
Turn quality expert experience into replicable intelligence
Quality work requires domain knowledge, business rules and complex judgment. Quality Agents convert expert methods and practical experience into reusable capabilities for the whole organization.
02
Capability replication
Let one expert's capability serve more quality tasks
Expert knowledge is encapsulated into agents for FMEA, 8D, SPC, control plans and other professional quality work.
Expert
FMEA
8D
SPC
03
Scaled adoption
Move quality capability from individuals to the organization
Quality experts spend less time on repetitive analysis and documents, and more time on complex problems, key decisions and continuous improvement.
Individual
Team
Organization
One agent for each class of quality task
A professional quality agent library covers core scenarios across quality planning, quality control and quality management.
Professional Quality Agent
FMEA Agent
Risk identification moves from experience-driven to AI-assisted analysis
Based on product, process and historical quality data, it helps identify potential failure modes, analyze risk and generate FMEA plans.
Core capabilities
Risk identificationFailure analysisRisk evaluationAction suggestion
Professional Quality Agent
Control Plan Agent
Quality control plans can be generated and optimized continuously
It helps generate control plans from product characteristics, process risks and quality requirements, then optimizes controls with process changes.
Core capabilities
Plan generationControl element detectionInspection planDynamic optimization
Professional Quality Agent
SPC Agent
Process variation is detected and analyzed in time
It continuously analyzes process data, identifies abnormal variation and trends, and supports process stability decisions.
Core capabilities
Process monitoringAbnormal detectionTrend analysisCause analysis
Professional Quality Agent
8D Agent
Quality problem closure becomes faster and more complete
It organizes quality event information and assists problem analysis, root-cause positioning, corrective actions and preventive actions.
Core capabilities
Problem analysisRoot causeAction generationClosed-loop management
APQP AgentPPAP AgentMSA AgentInspection AgentComplaint AgentAudit AgentCAPA AgentRoot Cause Agent
Let different quality capabilities collaborate on complex tasks
Real quality problems are rarely single tasks. A product change may involve FMEA, control plans, inspection plans and SPC; a quality event may require data analysis, root-cause analysis, actions and closure.
Quality abnormality
SPC Agent
Detects abnormal variation
Root Cause Agent
Locates key causes
8D Agent
Organizes problem closure
CAPA Agent
Drives preventive improvement
Problem closed
From single-point intelligence to quality task collaboration
Multiple professional agents share context, transfer results and advance the same quality goal as an executable task chain.
Shared quality context
Transferred analysis results
Continuous closed-loop progress
Move quality management systems from digital to intelligent
QMS4.0 connects quality business and quality data. Quality Agents add the ability to understand, analyze and execute.
QMS4.0
Quality data
Quality processes
Quality business
Quality data graph
Connect quality relationships
Understand business context
Quality Agents
Understand tasks
Analyze problems
Execute tasks
Support decisions
Autonomous quality management
AI discovers
AI analyzes
AI executes
From people searching data and doing analysisto AI actively discovering, analyzing and executing
Give every quality task intelligent capability
From assisting quality engineers to becoming part of quality engineering capability.
01
Improve quality efficiency
Automatically handle analysis, quality documents and problem workflows to shorten processing cycles.
02
Strengthen analysis capability
Combine quality data, industry knowledge and expert experience to find risks and problems faster.
03
Enable intelligent decisions
Generate decision options for concrete quality scenarios using data and knowledge.
04
Capture and replicate quality capability
Transform expert experience into reusable intelligent capabilities across the organization.
Make quality expertise scalable with AI
Talk to LinkedData experts and see how Quality Agents connect knowledge, data and execution.