Role-Based Programme
RB0966

NotebookLM for Quality Management

Analyse Quality Evidence, CAPA & Continuous Improvement with AI

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

Programme Objectives

  • Develop functional proficiency in using NotebookLM to analyse quality manuals, SOPs, audit evidence, non-conformance records, CAPA documentation, complaints, and quality reports.
  • Apply source-grounded questioning and citation-based analysis to identify quality issues, documentation gaps, recurring patterns, risks, and corrective-action requirements.
  • Build reusable workflows for root-cause investigation, CAPA review, audit preparation, supplier-quality analysis, and management review.
  • Transform multiple quality-information sources into structured tables, summaries, reports, and decision-support outputs.
  • Apply appropriate source validation, confidentiality, traceability, and human judgement when using AI-assisted quality analysis.

Tools covered

NotebookLMSource-Grounded ChatCitationsSource DiscoveryReportsData TablesMind MapsSlide DecksAudio OverviewsVideo Overviews

Who should attend

  • Quality Managers
  • Quality Assurance Professionals
  • Quality Control Professionals
  • Quality Engineers
  • Quality Systems Professionals
  • CAPA Coordinators
  • Quality Auditors
  • Supplier Quality Professionals
  • Continuous Improvement Professionals
  • Operational Excellence Professionals
  • Process Improvement Professionals
  • Compliance & Quality Professionals
  • Quality Team Leads
  • Quality Management Review Teams

Prerequisites & Participant Readiness

  • Basic understanding of quality-management principles and processes
  • Familiarity with SOPs, quality records, audits, CAPA, deviations, defects, or non-conformances
  • Basic computer and internet proficiency
  • Familiarity with quality reports and management-review documentation is helpful
  • No programming or technical AI expertise required
  • No previous NotebookLM experience required

TOC Modules

Concepts
  • Understanding NotebookLM as a source-grounded AI research and knowledge workspace
  • Understanding notebooks, sources, chat, citations, and generated outputs
  • Identifying suitable quality sources such as SOPs, manuals, audit reports, CAPA records, and quality reviews
  • Understanding the difference between source-grounded evidence and general AI responses
Practical activities
  • Creating a quality-focused notebook using sample documentation
  • Exploring source summaries and automatically identified themes
  • Asking initial quality-related questions from uploaded evidence

Scenarios

Non-Conformance to CAPA Review

Non-Conformance Records → Investigation Evidence → NotebookLM Analysis → Root-Cause Review → CAPA Mapping → Open Gaps → Quality Follow-Up

Participants consolidate quality-event documentation to analyse evidence, review proposed root causes, identify incomplete corrective actions, and create a traceable CAPA follow-up structure.

Quality Management Review Preparation

Audit Reports + Complaints + CAPA + Supplier Issues → Multi-Source Analysis → Recurring Themes → Data Tables → Management Brief

Participants use NotebookLM to consolidate multiple quality-information sources into a source-grounded management-review package, improving analysis, documentation, prioritisation, and review efficiency.

**Capability Reference:** NotebookLM's current Studio supports source-grounded Reports, Data Tables, Mind Maps, Slide Decks, Audio Overviews, and Video Overviews, with Data Tables and report tables exportable to Google Sheets for further structured review.

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