Role-Based Programme
RB0579
Microsoft Copilot Studio for Customer Service & Customer Success
AI Agents for Self-Service, Customer Journeys & Service Automation
IMAGE REQUIRED
Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training
Programme Objectives
- Develop functional proficiency in designing Copilot Studio agents for customer service, onboarding, customer success, and self-service experiences.
- Build grounded agents using approved product, service, policy, and support knowledge.
- Integrate tools, connectors, topics, and workflows to support customer requests beyond simple question answering.
- Design escalation and live-agent handoff experiences that preserve context when human intervention is required.
- Test, evaluate, monitor, and optimise customer-facing agents using structured quality and performance evidence.
Tools covered
Microsoft Copilot StudioAI AgentsAgent InstructionsGenerative OrchestrationKnowledge SourcesTopicsTools & ConnectorsAgent FlowsLive-Agent HandoffTest ChatAgent EvaluationMonitor & AnalyticsPublishing & Channels
Who should attend
- Customer Service Managers
- Customer Success Managers
- Customer Support Managers
- Customer Experience Managers
- Customer Service Professionals
- Customer Success Professionals
- Support Operations Professionals
- Customer Onboarding Professionals
- Customer Education Professionals
- Technical Support Professionals
- Service Delivery Managers
- Customer Service & Success Team Leads
Prerequisites & Participant Readiness
- Basic understanding of customer service or customer-success processes
- Familiarity with customer enquiries, FAQs, onboarding, support cases, or service workflows
- Basic awareness of CRM, knowledge-base, or enterprise business applications is helpful
- No programming expertise required
- No previous Microsoft Copilot Studio experience required
- Access to specific channels, connectors, and integrations may depend on organisational licensing and administrator permissions
TOC Modules
Concepts
- Understanding AI agents and their role across customer service and customer success
- Exploring instructions, knowledge, topics, tools, workflows, testing, and publishing
- Mapping Customer Need → Agent Assistance → Resolution / Action → Outcome
- Differentiating self-service automation from human customer-service interactions
Practical activities
- Exploring the Copilot Studio authoring environment
- Creating a basic customer-support agent
- Defining its users, purpose, scope, and success measures
Scenarios
Customer Question to End-to-End Self-Service Resolution
Customer Question → Copilot Studio Agent → Approved Knowledge → Troubleshooting Guidance → Required Business Action → Confirmation → Resolution → Analytics
Participants build a service experience that answers customer questions using governed knowledge and completes a relevant support action where appropriate.
Complex Customer Issue to Contextual Human Handoff
Customer Issue → Agent Diagnosis → Knowledge & Tool Attempts → Escalation Trigger → Conversation Context Transfer → Live Agent → Resolution → Interaction Review
Participants design a customer journey in which routine support is handled through AI while complex or sensitive cases move seamlessly to a human service professional with relevant context preserved.
Related programmes
Continue with programmes from the same capability area.
- ChatGPT for Human Resources: AI Skills for Smarter Everyday HR
- ChatGPT for Human Resources: Practical AI for Smarter HR Workflows
- ChatGPT for Human Resources: Research, Analyse & Build Smarter HR Workflows
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- ChatGPT for Sales & Business Development: Practical AI Skills for Modern Sales Teams
- ChatGPT for Sales & Business Development: Research, Engage & Build Smarter Sales Workflows
- ChatGPT for Sales & Business Development: Advanced AI Workflows, Account Intelligence & Sales Automation
- ChatGPT for Marketing: AI Skills for Modern Marketing Teams
Take the next step
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Instructor-ledVirtualHybrid
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