Role-Based Programme
RB0965

NotebookLM for Quality Management

Analyse Quality Evidence, Identify Trends & Strengthen QMS Decisions

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Build foundational proficiency in using NotebookLM to organise and analyse quality-management documents, records, procedures, and improvement information.
  • Apply source-grounded AI to review SOPs, quality policies, non-conformance records, CAPA information, audit findings, and customer-quality feedback.
  • Identify recurring defects, process gaps, root-cause themes, corrective actions, and quality trends across multiple sources.
  • Create structured quality summaries, management-review inputs, action trackers, and improvement briefs from validated evidence.
  • Apply appropriate source validation, confidentiality, traceability, and human quality judgement when using AI-generated insights.

Tools covered

NotebookLMSource-Grounded ChatCitationsFile & Web SourcesDeep ResearchReportsMind MapsData Tables

Who should attend

  • Quality Managers
  • Quality Assurance Professionals
  • Quality Control Professionals
  • Quality Engineers
  • Quality Analysts
  • QMS Professionals
  • Process Quality Professionals
  • Continuous Improvement Professionals
  • Supplier Quality Professionals
  • Quality Auditors
  • CAPA Coordinators
  • Quality Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of quality-management processes
  • Familiarity with SOPs, quality records, non-conformances, CAPA, or audit documentation
  • Basic experience working with business documents and reports
  • No programming or advanced AI knowledge required
  • No previous NotebookLM experience required

TOC Modules

Concepts
  • Understanding source-grounded AI for quality information analysis
  • Understanding notebooks, sources, citations, chat, and generated outputs
  • Identifying applications across QMS documentation, quality reviews, CAPA, audits, and improvement activities
  • Understanding the difference between AI-generated insight and approved quality evidence
Practical activities
  • Creating a notebook for a sample quality-management process
  • Adding quality procedures, records, and supporting documents
  • Asking quality-related questions and tracing answers to source citations

Scenarios

Non-Conformance Records to CAPA Insight

Non-Conformance Records → NotebookLM Analysis → Recurring Issues → Root-Cause Themes → Existing CAPA → Evidence Review → Improvement Actions

Participants analyse multiple quality records to identify recurring issues, compare corrective actions with available evidence, and prepare a structured quality-improvement brief.

Quality Management Review Preparation

SOPs + Audit Findings + Complaints + CAPA Records → Source-Grounded Analysis → Trends & Gaps → Management Review → Priority Actions

Participants consolidate quality-management information into a source-grounded management-review brief highlighting important trends, unresolved issues, corrective-action status, and improvement priorities.

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