Role-Based Programme
RB0535

Gemini for Google Workspace for Quality Management

Improve Quality Documentation, Analysis & Continuous Improvement with AI

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Build foundational capability in applying Gemini across quality documentation, process reviews, audits, corrective actions, and quality reporting.
  • Use approved policies, SOPs, quality records, spreadsheets, and supporting documents to generate source-grounded summaries and comparisons.
  • Analyse quality data to identify trends, recurring issues, exceptions, and areas requiring investigation.
  • Create reusable AI-assisted workflows for NCRs, CAPA, audit findings, quality meetings, follow-ups, and management reporting.
  • Apply source validation, confidentiality, human review, and quality-governance principles when using AI-generated outputs.

Tools covered

Gemini for Google WorkspaceGemini in Google DriveGoogle DocsGoogle SheetsGoogle FormsGmailGoogle MeetGoogle SlidesGoogle Workspace Studio

Who should attend

  • Quality Managers
  • Quality Assurance Professionals
  • Quality Control Professionals
  • Quality Analysts
  • Quality Engineers
  • Process Quality Professionals
  • Quality Auditors
  • Continuous Improvement Professionals
  • Quality Systems Professionals
  • Operational Excellence Professionals
  • Compliance & Quality Professionals
  • Quality Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of quality-management processes
  • Familiarity with SOPs, audits, quality records, defects, CAPA, or continuous improvement
  • Basic experience with Google Drive, Docs, Sheets, Gmail, or Meet is helpful
  • General awareness of generative AI is beneficial
  • No programming expertise required
  • No previous Gemini for Google Workspace experience required

TOC Modules

Concepts
  • Understanding Gemini across quality documentation, analysis, communication, and collaboration workflows
  • Mapping quality activities across Plan → Execute → Check → Correct → Improve
  • Understanding the difference between AI-generated observations and validated quality evidence
  • Identifying appropriate use cases across QA, QC, audits, process quality, and continuous improvement
Practical activities
  • Exploring representative quality tasks across Gemini-enabled Workspace applications
  • Mapping Quality Activity → Workspace Tool → Gemini Assistance → Human Validation

Scenarios

Quality Issue to Corrective Action & Effectiveness Review

Quality Issue → Evidence Collection → Gemini-Assisted Issue Summary → Cause Investigation → CAPA in Sheets → Responsible Owner → Follow-Up → Effectiveness Review → Quality Closure

Participants structure a realistic quality issue, analyse the available evidence, manage corrective actions, and track effectiveness while keeping root-cause confirmation and final closure under qualified quality ownership.

Quality Performance Data to Management Action

Quality Dataset → Gemini in Sheets → KPI & Trend Analysis → Recurring Issue Identification → Quality Review → Management Summary → Improvement Actions → Tracking

Participants transform structured quality data into actionable performance information, identify areas requiring investigation, and prepare a concise management review without treating AI-generated patterns as automatically proven causes.

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