Role-Based Programme
RB1602

AI-Powered Quality Audit & Compliance

Smarter Audit Planning, Evidence Review & Compliance Assurance

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

Programme Objectives

  • Apply AI across Quality Audit and Compliance activities including audit planning, checklist development, evidence review, finding analysis, compliance monitoring, and reporting.
  • Use AI-assisted techniques to analyse policies, procedures, quality records, audit evidence, non-conformities, and compliance data more efficiently.
  • Develop structured workflows for audit preparation, fieldwork, evidence validation, finding documentation, CAPA follow-up, and closure.
  • Analyse quality and compliance information to identify recurring findings, control gaps, overdue corrective actions, and areas requiring deeper review.
  • Apply responsible AI practices covering evidence quality, traceability, confidentiality, compliance interpretation, data integrity, and human judgement.

Tools covered

Generative AI AssistantsQuality Audit AnalyticsDocument IntelligenceSpreadsheet AnalysisAudit Planning SupportEvidence ReviewCompliance MappingNon-Conformance AnalysisCAPA TrackingReporting AssistanceWorkflow Automation

Who should attend

  • Quality Auditors
  • Internal Quality Auditors
  • Quality Assurance Professionals
  • Quality Managers
  • Quality Compliance Professionals
  • Quality Executives
  • Quality Control Professionals
  • Compliance Quality Professionals
  • Process Audit Professionals
  • Quality Engineers
  • CAPA Coordinators
  • Process Excellence Professionals
  • Operational Excellence Professionals
  • Quality Management Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of Quality Management, auditing, compliance, or process-control activities
  • Familiarity with audit checklists, SOPs, quality records, non-conformities, or corrective actions is helpful
  • Basic spreadsheet and data-analysis skills
  • Basic awareness of Generative AI is helpful
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, analytics, document intelligence, and automation in Quality Audit
  • Identifying AI opportunities across audit planning, evidence review, compliance checks, and reporting
  • Understanding AI assistance versus auditor judgement, independence, and accountability
  • Recognising risks related to incomplete evidence, unsupported conclusions, and compliance interpretation
Practical activities
  • Mapping the Quality Audit lifecycle to AI-assisted activities
  • Identifying repetitive audit and compliance tasks suitable for AI support
  • Comparing traditional and AI-assisted quality-audit workflows

Scenarios

Process Audit to Corrective Action Closure

Audit Plan → AI-Assisted Checklist → Process Walkthrough → Evidence Review → Finding → Root Cause → CAPA → Effectiveness Verification → Closure

Participants conduct a simulated quality audit, review evidence against defined criteria, develop structured findings, create corrective actions, and track them through effectiveness verification and closure.

Audit & Compliance Data to Management Assurance Report

Audit Findings + Compliance Data + CAPA Status + Repeat Issues → AI Analysis → Risk Themes → Priority Gaps → Corrective Actions → Management Report

Participants consolidate multiple audit and compliance information sources, identify recurring quality-control weaknesses and overdue actions, and prepare a management-ready assurance report with clear priorities and ownership.

Related programmes

Continue with programmes from the same capability area.

Take the next step

Ready to make this programme work for your team?

Customise modules, duration and business scenarios for your team.

Instructor-ledVirtualHybrid

Designed around your roles, tools and real workflows.