Role-Based Programme
RB0160

Claude for Quality Management

Analyse, Improve & Build Smarter Quality Workflows

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop functional proficiency in applying Claude across quality documentation, nonconformance analysis, root-cause investigation, CAPA, audits, supplier quality, and continuous improvement.
  • Apply advanced prompting and context-engineering techniques to generate structured, evidence-based, and review-ready quality outputs.
  • Use Claude with SOPs, audit records, quality datasets, complaints, supplier information, Web Search, and Research to identify trends, gaps, risks, and improvement opportunities.
  • Build reusable Claude Projects and workflows for recurring quality analysis, documentation, investigation, and reporting.
  • Apply traceability, source validation, confidentiality, compliance, and human-approval controls across AI-assisted quality activities.

Tools covered

ClaudeGenerative AIAdvanced Prompt EngineeringExtended ThinkingClaude ResearchWeb SearchFile AnalysisProjects & Artifacts

Who should attend

  • Quality Managers
  • Quality Assurance Professionals
  • Quality Control Professionals
  • Quality Engineers
  • Quality Analysts
  • Quality Systems Professionals
  • Supplier Quality Professionals
  • Internal Quality Auditors
  • CAPA Coordinators
  • Process Quality Professionals
  • Continuous Improvement Professionals
  • Operational Excellence Professionals
  • Document Control Professionals
  • Quality Team Leads & Managers

Prerequisites & Participant Readiness

  • Basic familiarity with quality-management activities
  • Understanding of SOPs, nonconformances, deviations, audits, CAPA, or quality records
  • Basic document and spreadsheet handling skills
  • Familiarity with workplace productivity applications is helpful
  • Basic understanding of Generative AI is beneficial but not mandatory
  • Completion of a shorter Claude programme is not required

TOC Modules

Concepts
  • Understanding Claude capabilities across quality analysis, documentation, investigation, and reporting
  • Identifying quality activities suitable for AI assistance versus formal quality decisions
  • Understanding hallucinations, incomplete evidence, outdated information, and AI limitations
  • Applying confidentiality, traceability, and human-validation principles to quality information
Practical activities
  • Mapping recurring quality activities to appropriate Claude-assisted workflows

Scenarios

Nonconformance to CAPA Closure

Nonconformance → Claude File Analysis → Evidence Review → Root-Cause Investigation → CAPA Development → Effectiveness Criteria → Quality Review → Closure

Participants use Claude to structure a quality investigation, organise supporting evidence, explore potential root causes, develop CAPA actions, and prepare review-ready documentation while retaining formal quality approval with authorised personnel.

Quality Trend to Management Action

Quality Records → Claude Data Analysis → Defect / Complaint Trends → Priority Issues → Investigation → Improvement Actions → Quality Management Summary

Participants analyse quality and complaint information, identify recurring patterns, prioritise investigation areas, and create a management-ready improvement summary supported by validated evidence.

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