WxCC AI Agent Scripted Package Tracking (Contact Center)

WxCC AI Agent Scripted Package Tracking

Playbook by Webex for Developers

WxCC AI Agent Scripted Package Tracking

Deploy a scripted AI agent for package tracking on Webex Contact Center with flow-controlled fulfillment and intent routing

Deploy a scripted AI agent for package tracking on Webex Contact Center with flow-controlled fulfillment and intent routing
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Playbook by Webex for Developers

Deploy a scripted AI agent for inbound package tracking calls on Webex Contact Center. The agent collects the package number via intent/slot interaction; the flow fetches live tracking status from an external API and returns it to the agent via a State Event. Callers are routed to intent-specific queues, and interaction outcomes are logged for custom Analyzer reporting.

What you get:

  • Importable WxCC Flow Designer JSON (Virtual Agent V2 + Webex AI Agent Studio)
  • Flow-controlled fulfillment: HTTP request → State Event → agent response
  • Intent-based queue routing via Case activity
  • CustomAIAgentInteractionOutcome variable for custom Analyzer reports
  • Step-by-step deployment guide from AI Agent Studio setup through live call testing

What you need:

  • Webex Contact Center org with Webex AI Agent Studio enabled
  • Scripted AI Agent configured with the Track Package intent (importable template)
  • Two queues and an Entry Point configured in Control Hub
  • CustomAIAgentInteractionOutcome global variable created in Control Hub
  • Cisco Cloud TTS enabled (or a static audio file for error messages)

Preview listing

This App Hub entry was published from an open pull request. Review the change.

Support

Third-Party Tool

Estimated Implementation Time

2-4 hours

Categories

Deploy a scripted AI agent for inbound package tracking calls on Webex Contact Center. The agent collects the package number via intent/slot interaction; the flow fetches live tracking status from an external API and returns it to the agent via a State Event. Callers are routed to intent-specific queues, and interaction outcomes are logged for custom Analyzer reporting.

What you get:

  • Importable WxCC Flow Designer JSON (Virtual Agent V2 + Webex AI Agent Studio)
  • Flow-controlled fulfillment: HTTP request → State Event → agent response
  • Intent-based queue routing via Case activity
  • CustomAIAgentInteractionOutcome variable for custom Analyzer reports
  • Step-by-step deployment guide from AI Agent Studio setup through live call testing

What you need:

  • Webex Contact Center org with Webex AI Agent Studio enabled
  • Scripted AI Agent configured with the Track Package intent (importable template)
  • Two queues and an Entry Point configured in Control Hub
  • CustomAIAgentInteractionOutcome global variable created in Control Hub
  • Cisco Cloud TTS enabled (or a static audio file for error messages)

Preview listing

This App Hub entry was published from an open pull request. Review the change.