Payment AI Agent Scripted for Webex Contact Center

Deploy a scripted payment AI agent for balance lookup and payment processing in Webex Contact Center

Payment AI Agent Scripted for Webex Contact Center

Playbook by Webex for Developers

Deploy a scripted payment AI agent for balance lookup and payment processing in Webex Contact Center

Playbook by Webex for Developers

A Webex Contact Center scripted-agent sample that connects AI Agent Studio and Flow Designer for inbound payment self-service: balance lookup, payment detail collection, subflow fulfillment, and caller-facing payment confirmation.

Why use this playbook

  • Ship faster: Start from importable AI Agent Studio and Flow Designer exports instead of building the state-event pattern from a blank flow.
  • Fewer event-mapping mistakes: Shows the exact custom events, variables, and subflow handoffs used for balance and payment paths.
  • Endpoint-ready pattern: Uses explicit endpoint placeholders so teams can connect approved balance and payment services before testing.
  • Safer review path: Calls out sample IDs, endpoint placeholders, and sensitive payment data handling before a team adapts the flow for a real environment.

What it does

  • Imports a scripted Payment_Agent_Scripted AI Agent with balance, payment, and payment-detail collection intents.
  • Imports a main Payment_Flow_Scripted voice flow that routes AI Agent custom state events through Flow Designer.
  • Calls checkBalance and makePayment subflows, then sends announceBalanceResponse and paymentResultResponse state events back to the AI Agent.
Support

Third-Party Tool

Estimated Implementation Time

2-4 hours

Categories

A Webex Contact Center scripted-agent sample that connects AI Agent Studio and Flow Designer for inbound payment self-service: balance lookup, payment detail collection, subflow fulfillment, and caller-facing payment confirmation.

Why use this playbook

  • Ship faster: Start from importable AI Agent Studio and Flow Designer exports instead of building the state-event pattern from a blank flow.
  • Fewer event-mapping mistakes: Shows the exact custom events, variables, and subflow handoffs used for balance and payment paths.
  • Endpoint-ready pattern: Uses explicit endpoint placeholders so teams can connect approved balance and payment services before testing.
  • Safer review path: Calls out sample IDs, endpoint placeholders, and sensitive payment data handling before a team adapts the flow for a real environment.

What it does

  • Imports a scripted Payment_Agent_Scripted AI Agent with balance, payment, and payment-detail collection intents.
  • Imports a main Payment_Flow_Scripted voice flow that routes AI Agent custom state events through Flow Designer.
  • Calls checkBalance and makePayment subflows, then sends announceBalanceResponse and paymentResultResponse state events back to the AI Agent.