Role-Based Programme
RB0042

ChatGPT 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 ChatGPT across quality documentation, nonconformance analysis, CAPA, audits, root-cause investigation, supplier quality, and management reporting.
  • Apply advanced prompting and context-engineering techniques to generate structured, traceable, and quality-focused outputs.
  • Analyse quality records, reports, SOPs, complaints, audit findings, and operational data to identify patterns, gaps, risks, and improvement opportunities.
  • Build reusable ChatGPT-assisted workflows that improve quality analysis, documentation, corrective actions, and review efficiency.
  • Apply appropriate validation, confidentiality, compliance, source verification, and human-approval controls when using Generative AI in quality-management activities.

Tools covered

ChatGPTGenerative AIAdvanced Prompt EngineeringFile & Data AnalysisChatGPT SearchDeep ResearchProjectsPlugins & Connected Apps

Who should attend

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

Prerequisites & Participant Readiness

  • Basic familiarity with quality-management activities and documentation
  • Understanding of SOPs, nonconformances, corrective actions, audits, or quality records
  • Familiarity with spreadsheets and business documentation is helpful
  • Basic understanding of Generative AI is beneficial but not mandatory
  • No programming knowledge required
  • Completion of a shorter ChatGPT programme is not required

TOC Modules

Concepts
  • Understanding ChatGPT capabilities across quality assurance, quality control, documentation, and improvement workflows
  • Identifying suitable applications across analysis, reporting, audits, CAPA, and quality communication
  • Understanding hallucinations, incomplete evidence, outdated information, and AI limitations
  • Identifying quality decisions that require authorised human judgement
Practical activities
  • Mapping recurring quality activities to suitable ChatGPT-assisted workflows
  • Testing ChatGPT using representative quality-management scenarios

Scenarios

Nonconformance to CAPA Closure

Nonconformance → Evidence Review → Root-Cause Analysis → Corrective Action → CAPA Plan → Effectiveness Check → Closure Documentation

Participants use ChatGPT to support a structured investigation from nonconformance identification through root-cause analysis and CAPA development while maintaining evidence-based validation and formal quality approval.

Quality Trend to Management Action

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

Participants analyse recurring quality data, identify significant patterns and risks, prioritise improvement opportunities, and prepare a concise management review with recommended follow-up actions.

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