Role-Based Programme
RB1603

AI-Powered Quality Audit & Compliance

Intelligent Audit Planning, Compliance Monitoring & Quality Assurance

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across quality audits, compliance reviews, evidence assessment, non-conformity management, and corrective-action tracking.
  • Use AI to analyse policies, SOPs, quality standards, audit records, inspection data, compliance evidence, findings, and management reports.
  • Build repeatable AI-assisted workflows for audit planning, checklist development, evidence review, finding documentation, CAPA follow-up, and reporting.
  • Apply AI to identify recurring compliance gaps, control weaknesses, documentation issues, overdue actions, and areas requiring deeper professional review.
  • Design responsible AI-enabled Quality Audit & Compliance workflows with appropriate controls for evidence integrity, traceability, accuracy, confidentiality, auditability, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AISpreadsheet & Data AnalysisQuality Audit AnalyticsCompliance Monitoring ToolsEvidence AnalysisRoot Cause Analysis ToolsReporting & Dashboard ToolsWorkflow Automation

Who should attend

  • Quality Auditors
  • Quality Managers
  • Quality Assurance Managers
  • Compliance Managers
  • Quality Compliance Professionals
  • Internal Quality Auditors
  • Quality Systems Professionals
  • Quality Engineers
  • Quality Assurance Professionals
  • Regulatory & Quality Professionals
  • Process Compliance Professionals
  • CAPA Coordinators
  • Audit & Assurance Professionals
  • Continuous Improvement Professionals
  • Quality Audit & Compliance Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of Quality Management, Quality Assurance, auditing, compliance, or process control
  • Familiarity with SOPs, quality standards, audit evidence, non-conformities, CAPA, or compliance-monitoring activities
  • Basic proficiency with spreadsheets, documents, data interpretation, and workplace productivity applications
  • No previous AI course attendance required
  • No programming background required

TOC Modules

Concepts
  • Understanding Generative AI, Document AI, quality analytics, and workflow automation
  • Mapping AI opportunities across audit planning, evidence review, compliance monitoring, and corrective action
  • Understanding AI assistance versus auditor judgement and authorised compliance decisions
  • Recognising hallucination, evidence-quality, confidentiality, and traceability risks
Practical activities
  • Mapping an existing Quality Audit lifecycle and identifying AI opportunities
  • Comparing manual and AI-assisted audit activities
  • Creating a Quality Audit & Compliance AI opportunity matrix

Scenarios

Quality Audit to CAPA Closure

Audit Planning → Checklist → Evidence Review → Process Walkthrough → Non-Conformity → Root Cause Review → Corrective Action → Effectiveness Verification → Closure

Participants use AI-assisted techniques to conduct a simulated quality audit, analyse evidence, document findings, review root causes and corrective actions, and prepare a structured closure report.

Compliance Data to Continuous Quality Monitoring

Audit Findings + Process Data + Compliance Checks + CAPA Status + Documentation Gaps → AI Analysis → Recurring Issues → Priority Risks → Automated Follow-Up → Dashboard → Management Review

Participants design an AI-enabled continuous compliance workflow that consolidates audit and quality information, highlights recurring gaps, improves corrective-action tracking, and strengthens management visibility while retaining final audit and compliance decisions with authorised professionals.

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