Role-Based Programme
RB1600

AI-Powered Quality Audit & Compliance

Smarter Audit Planning, Compliance Review & Quality Assurance

IMAGE REQUIRED
Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how AI can support Quality Audit and Compliance activities across audit planning, document review, evidence analysis, findings, and reporting.
  • Explore practical prompting techniques for audit checklists, compliance reviews, observations, evidence summaries, and corrective-action tracking.
  • Apply AI to organise audit information, identify potential gaps, structure findings, and prepare quality-assurance outputs.
  • Identify opportunities to improve audit efficiency, consistency, documentation quality, compliance visibility, and follow-up.
  • Recognise evidence integrity, quality standards, confidentiality, approvals, and human-review responsibilities when using AI.

Tools covered

Generative AI AssistantsAI-Assisted Audit PlanningDocument IntelligenceCompliance ReviewQuality Checklist GenerationAudit Evidence SummarisationIssue TrackingBasic Workflow Automation

Who should attend

  • Quality Auditors
  • Quality Assurance Professionals
  • Quality Managers
  • Quality Executives
  • Compliance Professionals
  • Quality Systems Professionals
  • Internal Quality Auditors
  • Process Auditors
  • Supplier Quality Professionals
  • Quality Control Professionals
  • CAPA Coordinators
  • Continuous Improvement Professionals
  • Quality Management Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of quality, audit, compliance, or process-management activities
  • Familiarity with quality standards, SOPs, audit checklists, findings, or corrective actions is helpful
  • Basic computer and spreadsheet skills
  • No AI or programming knowledge required
  • No previous Generative AI experience required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to Quality Audit and Compliance
  • Identifying AI applications across audit planning, evidence review, compliance checks, and reporting
  • Understanding AI assistance versus auditor and quality-professional judgement
  • Recognising activities where approved standards, evidence, and human validation remain mandatory
Practical activities
  • Mapping common Quality Audit and Compliance activities to potential AI applications
  • Comparing a traditional audit activity with an AI-assisted approach

Scenarios

Quality Standard to Audit Findings

Audit Requirement → AI-Assisted Audit Plan → Checklist → Evidence Review → Potential Gaps → Findings → Audit Summary

Participants use AI to prepare a sample quality audit, review supplied evidence against defined criteria, and create structured findings for qualified auditor review.

Audit Finding to CAPA Closure

Audit Finding → Root Cause Information → Corrective Action → Owner & Timeline → Evidence of Completion → Verification → Closure Summary

Participants use AI to organise a sample audit finding, track corrective actions, and prepare a concise closure summary while retaining final verification and closure decisions with authorised quality professionals.

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