Role-Based Programme
RB1601

AI-Powered Quality Audit & Compliance

Smarter Audit Planning, Evidence Review & Compliance Monitoring

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support Quality Audit and Compliance across audit planning, checklist development, evidence review, findings, and follow-up.
  • Apply AI-assisted techniques to analyse quality records, SOPs, audit evidence, inspection results, non-conformances, and compliance information.
  • Use structured prompting for audit preparation, control review, evidence analysis, finding development, and management reporting.
  • Explore AI-supported approaches for identifying recurring non-conformances, documentation gaps, overdue actions, and compliance risks.
  • Build responsible AI-assisted audit and compliance workflows while maintaining traceability, evidence integrity, accuracy, professional judgement, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AISpreadsheet & Data AnalysisAudit Planning AICompliance AnalysisEvidence ReviewCAPA & Workflow Automation

Who should attend

  • Quality Auditors
  • Quality Assurance Professionals
  • Quality Compliance Professionals
  • Quality Managers
  • Quality Executives
  • Internal Quality Auditors
  • Quality Systems Professionals
  • Compliance Executives
  • CAPA Coordinators
  • Process Excellence Professionals
  • Operational Excellence Professionals
  • Process Owners
  • Internal Control Professionals
  • Quality Audit & Compliance Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of Quality Management, auditing, compliance, or process controls
  • Familiarity with SOPs, audit checklists, quality records, findings, non-conformances, or CAPA is helpful
  • Basic computer, spreadsheet, and document-handling skills
  • No AI or programming knowledge required
  • No previous AI training required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to quality auditing and compliance
  • Identifying AI applications across audit planning, document review, evidence analysis, findings, and reporting
  • Understanding AI assistance versus auditor and quality-professional judgement
  • Recognising limitations such as hallucinations, incomplete evidence, bias, and unsupported conclusions
Practical activities
  • Mapping a typical Quality Audit & Compliance workflow
  • Identifying repetitive and information-intensive audit tasks suitable for AI assistance
  • Comparing a traditional audit task with an AI-assisted approach

Scenarios

Process Audit to Quality Finding

Audit Scope → AI-Assisted Checklist → Evidence Review → Gap Identification → Finding → Severity Review → Corrective Action

Participants use AI to support a sample process audit, organise evidence, identify potential gaps, and prepare structured audit findings for authorised quality review.

Audit Findings to CAPA & Compliance Report

Audit Findings → AI Analysis → Recurring Themes → CAPA Status → Overdue Actions → Effectiveness Review → Management Report

Participants use AI to analyse sample audit findings and CAPA data, identify recurring compliance issues, and prepare a management-ready Quality Audit & Compliance report.

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