Role-Based Programme
RB0526
Gemini for Google Workspace for Customer Service & Customer Success
Advanced AI Workflows for Customer Engagement, Support & Success Management
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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development
Programme Objectives
- Develop advanced proficiency in applying Gemini across Google Workspace to customer service, customer success, onboarding, support, adoption, and retention workflows.
- Synthesize customer information across emails, documents, spreadsheets, presentations, meetings, and shared knowledge to create actionable customer context.
- Apply Gemini to customer communication, case analysis, feedback synthesis, health reviews, success planning, QBR preparation, and escalation management.
- Build integrated cross-Workspace workflows that improve collaboration between customer-facing, product, technical, and leadership teams.
- Establish responsible AI practices covering customer privacy, account confidentiality, source validation, human escalation, commercial accuracy, and customer-facing communication.
Tools covered
Gemini for Google WorkspaceGmailGoogle DriveGoogle DocsGoogle SheetsGoogle SlidesGoogle MeetGoogle ChatGoogle FormsGemini Side PanelWorkspace Intelligence
Who should attend
- Customer Service Managers
- Customer Success Managers
- Senior Customer Success Managers
- Customer Support Managers
- Customer Experience Managers
- Customer Success Executives
- Technical Support Professionals
- Customer Onboarding Managers
- Implementation Managers
- Service Delivery Managers
- Customer Operations Professionals
- Customer Education Professionals
- Account Management Professionals
- Customer Success Operations Professionals
- Customer Service & Success Team Leaders
Prerequisites & Participant Readiness
- Good understanding of customer service or customer success processes
- Familiarity with onboarding, support, adoption, escalations, customer reviews, and renewals
- Working knowledge of Google Workspace applications
- Basic understanding of customer-service metrics and customer-success KPIs
- Familiarity with structured customer data and reporting is helpful
- Basic understanding of generative AI concepts
- Access to an eligible Google Workspace environment with Gemini capabilities is recommended
TOC Modules
Concepts
- Understanding Gemini across Gmail, Drive, Docs, Sheets, Slides, Meet, and Chat
- Mapping AI assistance across the customer lifecycle
- Understanding contextual and cross-Workspace information synthesis
- Differentiating AI assistance from customer-service judgement and account ownership
Practical activities
- Exploring advanced customer-facing Gemini workflows
- Creating reusable prompt structures for service and success scenarios
- Mapping Customer Lifecycle → Workspace Data → Gemini → Business Action
- Establishing validation checkpoints for AI-generated outputs
Scenarios
At-Risk Strategic Customer Recovery
Customer Emails + Support History + Meeting Notes + Adoption Data → Gemini Synthesis → Google Sheets Health Analysis → Risk Brief → Recovery Plan → Executive Customer Meeting → Actions & Owners
Participants consolidate multi-source customer information, identify validated risk indicators, prepare a recovery plan, and coordinate customer and internal stakeholders while keeping final account decisions under human ownership.
Customer Onboarding to QBR & Growth Planning
Customer Objectives → Onboarding Plan → Adoption Tracking → Feedback Analysis → Success Metrics → QBR Deck → Renewal Readiness → Growth Discussion
Participants manage a customer lifecycle from onboarding through value realization and executive review, using Gemini to accelerate documentation, analysis, communication, and follow-through while maintaining customer-success ownership.
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