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 Duration 14 hours

Course Outline

Introduction to Claude in Support Operations

  • Defining Claude’s role in enterprise support environments
  • Exploring key capabilities and inherent limitations
  • Identifying relevant operational use cases

Support Triage and Classification Using Claude

  • Strategies for automated case categorization
  • Extracting customer intent and urgency levels
  • Minimizing the burden of manual triage tasks

Drafting and Refining Customer Communications

  • Generating messages with controlled tone
  • Tailoring communication to various customer profiles
  • Designing multi-step interaction flows

Automating Tickets and Summarization

  • Creating structured ticket documentation
  • Deriving precise summaries from interaction transcripts
  • Aligning generated content with internal formatting standards

Enhancing Knowledge Retrieval and Articles

  • Querying enterprise knowledge bases via Claude
  • Refreshing outdated knowledge base articles
  • Synthesizing new documentation from support data

Workflow Integration and Best Practices

  • Optimizing support processes through Claude implementation
  • Developing repeatable prompt workflows
  • Maintaining quality assurance in AI-assisted operations

Security, Compliance, and Responsible Usage

  • Considerations for data handling and privacy
  • Managing permissions and access policies
  • Ensuring auditability in AI-driven support workflows

Practical Project: Claude in Real-World Support Scenarios

  • Constructing a workflow from triage to ticket creation
  • Producing polished, customer-ready communications
  • Setting up a support knowledge Q&A pipeline

Wrap-Up and Future Steps

Requirements

  • A solid grasp of standard customer support workflows
  • Prior experience with helpdesk or ticketing platforms
  • Basic familiarity with enterprise-level knowledge bases

Target Audience

  • Customer service teams
  • Support managers
  • Operational teams

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