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How to Configure and Manage AI Agents in Cisco Webex

Set up a customer-facing Cisco Webex AI agent in AI Agent Studio, choose scripted or autonomous behavior, connect the right deployment path, and manage permissions and transcripts.
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To set up a customer-facing AI agent in Cisco Webex Contact Center, open Control Hub > Services > Contact Center > Customer experience > AI Agent > Webex AI Agent and use Webex AI Agent Studio to create, configure, preview, test, and publish it. You can build a scripted agent for defined tasks or an autonomous agent that uses a configured knowledge base. The deployment steps then depend on whether the agent will handle digital messages or use the documented Contact Center Enterprise voice architecture.

Webex AI Agent Studio is for authoring customer-facing agents. Webex AI Assistant skills are a separate, staff-facing capability for giving human contact-center agents real-time guidance.

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Before you configure an agent

Confirm that your organization has the appropriate Contact Center service, entitlements, and access to Webex AI Agent Studio. Cisco’s setup guide covers Webex Contact Center, Webex Contact Center Enterprise, Unified CCE, and Packaged CCE, but requirements can differ by solution and deployment. For the enterprise and on-premises deployments described in the guide, Cisco specifies a hybrid organization setup and AI Agent units under its Collaboration Flex Contact Center offering. Do not assume those requirements apply identically to every deployment.

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If Webex AI Agent Studio is not available in Control Hub, Cisco directs administrators to contact support about enabling the feature flag. Users with tenant access can also open Studio from the Webex Connect App Tray. Voice preview is available when Studio is opened through Control Hub’s Contact Center service.

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Choose the agent type that fits the interaction

Agent type Best fit What to configure
Scripted Defined, structured tasks where the interaction follows an authored path. Build the conversation and relevant channel behavior in Studio. Some parameters and metadata described for integrations are limited to scripted agents; check Cisco’s current guide for the specific fields you plan to use.
Autonomous Interactions where the agent should respond using a configured knowledge base. Set up suitable knowledge and keep the agent’s scope bounded. Cisco recommends using multiple limited-scope autonomous agents rather than one agent with a complex scope.

In Studio, you can start from a template or create an agent from scratch. The documented setup includes naming the agent, assigning a system ID, choosing an AI engine, and configuring its profile, knowledge, actions, conversation settings, and applicable channel behavior. The exact choices available can depend on the selected agent type and organization setup.

Create, preview, test, and publish in AI Agent Studio

  1. Open Studio: In Control Hub, go to Services > Contact Center > Customer experience > AI Agent > Webex AI Agent. Alternatively, use the Webex Connect App Tray if your user has tenant access.
  2. Start an agent: Choose a template or create one from scratch, then provide its name and system ID.
  3. Configure its behavior: Select an AI engine and set the profile, knowledge, actions, conversation settings, and channel behavior appropriate to the task. For an autonomous agent, configure the knowledge base it will use and limit the scope to the intended job.
  4. Preview and test: Use Studio’s preview and test capabilities to examine the interaction before release. To use voice preview, access Studio through Control Hub’s Contact Center service.
  5. Publish: Publish the agent when its configured behavior is ready for the relevant deployment path. Publishing the agent in Studio is not, by itself, the same as configuring every digital flow or enterprise voice integration that will invoke it.

Deploy to digital messaging channels

For a digital deployment, configure the channel assets and a flow in Webex Connect, then add the AI Agent node to the flow. Cisco lists WhatsApp, SMS, Email, Facebook Messenger, Apple Messages for Business, and Live Chat for the documented Webex Connect and Contact Center integration.

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The node’s Process Message method passes the selected agent and message, along with language when applicable, the channel, and a user identifier. Optional custom parameters can be associated with the user profile; optional message parameters apply to the next response. Parameter availability and metadata limits vary, and some are scripted-agent-only, so confirm the current field behavior in Cisco’s integration guide before building a flow around them.

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Deploy through the documented Contact Center Enterprise voice architecture

The enterprise voice route has infrastructure prerequisites beyond authoring an agent in Studio. Cisco’s documented architecture calls for Cloud Connect publisher and subscriber installation, Cloud Connect registration and configuration with CVP and VVB, certificate setup, and Virtual Agent Voice configuration in Call Studio. The configured agent’s ID is placed in the Virtual Agent Voice element so the orchestrator can invoke it.

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These are requirements for the documented Contact Center Enterprise voice architecture, not universal prerequisites for every Webex AI agent or digital-channel deployment. Confirm that this architecture matches your Contact Center solution before following it.

Distinguish Studio agents from related AI capabilities

Capability Purpose Where it fits
Webex AI Agent Studio Author customer-facing scripted or autonomous AI agents. Build and manage the agent; connect it to the relevant digital flow or supported voice architecture.
Webex AI Assistant skills Provide real-time guidance to human contact-center agents. Configure skills in Webex AI Studio and assign them to queues. This is not the workflow for deploying a customer-facing AI Agent.
Contact Center AI configuration and connectors Connect contact-center solutions to Cisco or external AI services. Cisco describes Webex CCAI for Cisco services, integration connectors for external AI services, and service apps for authorized vendor services. Applicable options depend on the contact-center solution and data center.
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Manage agents, access, and transcripts

The Studio dashboard lists the agents available to the signed-in user and supports preview, export, import, pinning, and deletion. Access to agents and administrative actions varies by organization and role, including for service administrators, partner or provisioning administrators, read-only administrators, and supervisors.

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Cisco’s administration guide states: “You can create up to 100 AI agents, which includes both scripted and autonomous types.” Treat that as the product limit stated in the guide, rather than an independently measured capacity figure, and confirm the current limit in Cisco’s live documentation when planning an organization’s agent inventory.

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Transcript access is a separate permission decision. Cisco says transcripts are unavailable to users by default; an authorized customer full administrator must explicitly grant decrypt access. Customer full administrators also manage transcript permissions, so restrict that access according to your organization’s governance requirements.

After publishing, use the available session and history views and analytics to review agent activity and manage the agent over time. The available controls and visibility depend on the user’s permissions.

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