Role-Based Programme
RB1572

AI-Powered Quality Management System Administration

Smarter QMS Documentation, Compliance & Process Control

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

Programme Objectives

  • Understand how AI can support Quality Management System administration across documentation, process control, compliance, audits, CAPA, and reporting.
  • Explore practical prompting techniques for SOPs, quality manuals, document reviews, audit preparation, and QMS records.
  • Apply AI to organise QMS information, identify potential documentation gaps, summarise evidence, and prepare structured quality-system outputs.
  • Identify opportunities to improve document consistency, review efficiency, compliance visibility, and QMS administration productivity.
  • Recognise document-control requirements, data accuracy, approval workflows, quality standards, and human-review responsibilities when using AI.

Tools covered

Generative AI AssistantsDocument IntelligenceQMS Documentation SupportSOP & Policy ReviewCompliance TrackingAudit SupportCAPA TrackingBasic Workflow Automation

Who should attend

  • QMS Administrators
  • Quality Management System Coordinators
  • Quality Assurance Executives
  • Quality Systems Professionals
  • Quality Executives
  • Document Control Professionals
  • Quality Compliance Professionals
  • Quality Auditors
  • CAPA Coordinators
  • Process Quality Professionals
  • Quality Analysts
  • Continuous Improvement Professionals
  • Quality Management Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of quality-management systems or quality processes
  • Familiarity with SOPs, policies, forms, audits, CAPA, or controlled documents is helpful
  • Basic computer and office-productivity skills
  • No AI or programming knowledge required
  • No previous Generative AI experience required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to Quality Management Systems
  • Identifying AI applications across QMS documentation, compliance, audits, records, and reporting
  • Understanding AI assistance versus QMS administrator and quality-professional accountability
  • Recognising activities where approved procedures, standards, and human validation remain mandatory
Practical activities
  • Mapping common QMS administration activities to potential AI applications
  • Comparing a traditional QMS task with an AI-assisted approach

Scenarios

QMS Document to Controlled Review

QMS Document → AI-Assisted Review → Requirements → Gaps → Revision Points → Approval Workflow → Controlled Update

Participants use AI to review a sample QMS document, identify potential inconsistencies or missing information, and prepare structured revision notes for authorised quality review.

QMS Audit Findings to CAPA Tracking

Audit Findings → AI-Assisted Summary → Non-Conformities → Corrective Actions → Owners & Deadlines → Follow-Up → Management Summary

Participants use AI to organise sample QMS audit findings, track corrective actions, and prepare a concise management update while retaining final quality and compliance decisions with authorised professionals.

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