webex-ai-agents is a documentation-first sample repository that captures the intent, structure, and collaboration model for Webex AI agent use cases. It is designed to show how an AI-first customer interaction can connect to a Webex Contact Center flow when self-service is no longer sufficient.
This repository provides a clean starting point for documenting:
- Sample Webex AI agent use cases
- Sample Webex Contact Center flow design
- The relationship between AI-led self-service and human-assisted escalation
The current sample scenario focuses on customer support triage. In this example, a Webex AI agent handles initial intake, identifies the customer issue, attempts resolution for common requests, and passes structured context into Webex Contact Center when escalation is required.
.
├── README.md
├── CONTRIBUTING.md
├── LICENSE.md
└── sample-use-case/
├── README.md
├── sample-ai-agent/
│ └── README.md
└── sample-flow/
└── README.md
The sample content is organized around a single customer support triage journey:
sample-use-case/explains the end-to-end examplesample-use-case/sample-ai-agent/describes the AI agent responsibilities and escalation logicsample-use-case/sample-flow/outlines the related Webex Contact Center flow
Contributions should keep the repository documentation-focused, consistent, and easy to navigate. Follow the guidance in CONTRIBUTING.md before opening a pull request.
This repository is provided under the Cisco Sample Code License. See LICENSE.md.