Role-Based Programme
RB1595

AI for Supplier Quality Management

Advanced Supplier Quality Intelligence, Defect Prevention & Performance Excellence

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across supplier qualification, incoming quality, supplier performance, audits, defect analysis, CAPA, and supplier development.
  • Use AI-assisted analysis to identify recurring defects, supplier-quality risks, non-conformance patterns, process weaknesses, and corrective-action priorities.
  • Apply AI to supplier scorecards, root cause analysis, audit preparation, inspection data, quality documentation, and performance reviews.
  • Use AI-assisted analytics to improve supplier quality, defect prevention, response time, corrective-action effectiveness, compliance, and operational reliability.
  • Build responsible AI-enabled Supplier Quality Management workflows with strong data governance, evidence validation, traceability, confidentiality, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchSupplier Quality AnalyticsSupplier Audit AnalysisDefect & Non-Conformance AnalysisRoot Cause AnalysisCAPA ManagementSupplier ScorecardsIncoming Quality AnalyticsRisk-Based Supplier AssessmentQuality Trend AnalysisDocumentation IntelligenceWorkflow AutomationAI AgentsDecision-Support Tools

Who should attend

  • Supplier Quality Managers
  • Supplier Quality Engineers
  • Quality Managers
  • Quality Assurance Professionals
  • Quality Control Professionals
  • Supplier Development Engineers
  • Vendor Quality Professionals
  • Procurement Quality Professionals
  • Incoming Quality Professionals
  • Manufacturing Quality Engineers
  • Supplier Audit Professionals
  • Quality Analysts
  • Continuous Improvement Professionals
  • Supplier Performance Professionals
  • Leaders Responsible for Supplier Quality & Reliability

Prerequisites & Participant Readiness

  • Experience in supplier quality, quality assurance, quality control, manufacturing, procurement quality, or supplier development
  • Familiarity with supplier audits, inspections, non-conformities, root cause analysis, CAPA, and supplier scorecards
  • Basic awareness of Generative AI and common business applications
  • Comfort working with supplier, quality, audit, inspection, and performance data
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, analytics, document intelligence, automation, and AI agents
  • Exploring AI applications across supplier quality, audits, inspections, CAPA, and performance reviews
  • Distinguishing AI-assisted quality analysis from authorised quality decisions
  • Understanding hallucinations, supplier-data sensitivity, evidence quality, and human accountability
Practical activities
  • Mapping AI opportunities across the Supplier Quality lifecycle
  • Identifying activities suitable for augmentation, automation, or continued human ownership
  • Creating an AI opportunity map for Supplier Quality teams

Scenarios

Repeated Supplier Defects to Quality Recovery Plan

Incoming Inspection → Defect Trends → Severity → Root Cause → Supplier CAPA → Process Controls → Verification → Performance Monitoring

Participants use AI to analyse recurring defects from a critical supplier, identify systemic causes, evaluate corrective actions, and create a measurable supplier-quality recovery plan.

High-Risk Supplier to Quality Improvement & Governance Strategy

Supplier Qualification → Audit Findings → Defect History → Process Capability → Risk Assessment → Development Plan → Scorecard → Governance Review

Participants use AI to assess a high-risk supplier with inconsistent quality performance, identify capability and control gaps, design a supplier-development programme, and establish ongoing quality governance.

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