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AI Quality Control & Inspection

Monitor Quality. Prevent Defects.

Your AI Quality Control & Inspection Teammate monitors production metrics in real time, flags quality deviations before they become defects, automates inspection documentation, triggers corrective actions proactively, and maintains SPC charts — delivering continuous quality assurance across every production line.

SOC 2 Compliant ISO 27001 Ready Fully Auditable
What This Teammate Does

Continuous Quality Monitoring & Inspection — Fully Automated

From raw material intake to finished goods, your AI teammate ensures every product meets quality standards with zero manual gaps.

Real-Time SPC Monitoring

Continuously monitors statistical process control charts, detecting trends, shifts, and out-of-control conditions before they result in defective product.

Proactive Deviation Alerts

Flags quality deviations instantly — notifying operators and quality engineers when process parameters drift outside acceptable ranges, before defects occur.

Automated Inspection Documentation

Generates inspection reports, non-conformance records, and CAPA documentation automatically — eliminating manual paperwork and ensuring audit readiness.

Root Cause Analysis

Correlates defect data with process parameters, materials, and environmental conditions to identify root causes and recommend corrective actions.

Incoming Material Verification

Validates incoming materials against specifications, certificates of analysis, and supplier quality data — flagging non-conforming materials before they enter production.

Quality Analytics & Trending

Tracks quality KPIs over time — defect rates, first pass yield, COPQ, and customer returns — surfacing trends and improvement opportunities for continuous optimization.

Who It's For

Built for Quality Leaders Who Demand Zero Defects

Designed for quality, manufacturing, and plant leaders responsible for product quality, compliance, and customer satisfaction.

Quality Director

Senior quality leaders accountable for defect rates, compliance, and quality system maturity — seeking AI that delivers continuous monitoring without manual overhead.

  • Reduce defect rates by 40%+
  • Automate inspection documentation
  • Maintain ISO/IATF compliance

VP of Manufacturing

Operations leaders responsible for production yield, cost of poor quality, and customer satisfaction — needing quality intelligence that scales across facilities.

  • Improve first pass yield to 99%+
  • Reduce cost of poor quality (COPQ)
  • Eliminate customer quality escapes

Plant Quality Manager

Floor-level quality managers running daily inspections, managing NCRs, and driving CAPA processes — needing real-time quality data at their fingertips.

  • Real-time SPC visibility
  • Faster root cause identification
  • Automated CAPA tracking
What It Replaces

Replace Sample-Based Inspection with Continuous AI Monitoring

AI Quality Control directly displaces manual, sample-based inspection processes — delivering 100% coverage without adding headcount.

Traditional Model
AI Teammate
Sample-based quality inspection
Continuous 100% monitoring
Manual SPC chart maintenance
Real-time automated SPC
Paper-based inspection records
Digital audit-ready documentation
Reactive root cause analysis
Proactive deviation prediction
Manual supplier quality verification
Automated incoming material validation
Measurable Impact

KPIs That Move the Business

Every AI Quality Control deployment is benchmarked against the metrics that matter most to quality and manufacturing leaders.

↓40%Defect Rate Reduction

Proactive monitoring and early deviation detection prevent defects before they reach downstream processes or customers.

99.2%First Pass Yield

Real-time process adjustments and early intervention drive first pass yield to near-perfect levels across production lines.

↓60%Inspection Time

Automated monitoring and documentation eliminate manual inspection steps — freeing quality engineers for higher-value analysis.

↓50%Cost of Poor Quality

Fewer defects, less scrap, reduced rework, and eliminated customer returns — cutting COPQ significantly.

↓70%Customer Returns

Quality escapes are caught before shipment — protecting customer relationships and brand reputation.

100%SPC Compliance

Continuous automated SPC monitoring ensures every critical process parameter is tracked and controlled at all times.

Seamless Integration

Connects to Your Existing Quality & MES Systems

Your AI teammate integrates with quality management, MES, and analytics platforms you already use — no rip-and-replace required.

SAP QM

Native integration with SAP Quality Management for inspection lots, quality notifications, and certificates of analysis.

InfinityQS & Minitab

Connects to SPC platforms for real-time control chart data, capability analysis, and process improvement tracking.

Siemens Quality Suite

Bi-directional sync with Siemens quality systems for inspection planning, defect tracking, and CAPA management.

LIMS Systems

Integrates with laboratory information management systems for material testing, sample tracking, and specification verification.

MES Platforms

Connects to manufacturing execution systems for real-time production data, process parameters, and equipment status.

OPC-UA & MQTT

Standard industrial protocols for sensor data, PLC connectivity, and real-time equipment monitoring — fully extensible.

Deployment Timeline

Live in Weeks — Not Quarters

A structured, phased deployment that delivers measurable quality improvements from the first sprint.

Week 1–2

Discovery & Configuration

  • Map existing quality workflows and inspection points
  • Configure QMS, MES, and sensor integrations
  • Define quality parameters and SPC control limits
  • Set up governance controls and audit logging
Week 3–4

Pilot Launch & Validation

  • Deploy AI teammate on a pilot production line
  • Human-in-the-loop validation of detection accuracy
  • Benchmark KPIs: defect rate, FPY, inspection time
  • Iterate on detection thresholds from quality team feedback
Week 5+

Scale & Optimize

  • Expand to additional lines and quality checkpoints
  • Continuous model improvement from defect data
  • Onboard additional quality teams and inspection points
  • Quarterly reviews with quality performance benchmarks
Governance & Trust

Enterprise-Grade Security for Quality Operations

Every quality decision is auditable. Every inspection is governed. Built for ISO 9001, IATF 16949, and FDA compliance.

Human-in-the-Loop by Default

Every critical quality hold and disposition decision routes to a quality engineer. AI monitors — humans retain authority over quality releases.

ISO 9001 & IATF 16949 Ready

Full decision audit trails, role-based access, and quality logging designed for automotive, aerospace, and medical device compliance.

Data Residency & Encryption

Data residency controls, encryption at rest and in transit, and configurable retention policies for every plant and jurisdiction.

Works With Your Quality Stack

Connects to SAP QM, InfinityQS, Minitab, Siemens, and LIMS systems via OPC-UA and secure APIs.

Get Started in 30 Days

Launch Your AI Quality Control Pilot

See measurable results — fewer defects, higher first pass yield, and lower COPQ — within your first month. No multi-year commitment. Just results.

Live in 2–4 Weeks ISO 27001 Human-in-the-Loop No Data Lock-in