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Configure Virtual Agent-Voice in Webex Contact Center
Use this article to enable the Virtual Agent–Voice feature by integrating Webex Contact Center with cloud-based AI services.
The Virtual Agent–Voice (VAV) is a self-service capability in Webex Contact Center that helps you to integrate the Interactive Voice Response (IVR) platform with cloud-based AI services. VAV supports human-like interactions that provide intelligent and automated assistance to callers. The VAV capability enables callers to resolve issues quickly and more efficiently in the IVR flow, and reduces the calls that are directed toward human agents.
VAV uses technologies such as Natural Language Processing (NLP), Automated Speech Recognition (ASR), and text-to-speech (TTS) to understand a caller’s intent and provide personalized and relevant voice responses.
VAV offers the following benefits:
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Ability to respond quickly to caller's queries in real-time.
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Ability to route a caller to a live agent if the virtual agent can’t handle the conversation.
Webex Contact Center uses the Contact Center AI (CCAI) services through the service provider-specific integration connector. You can use AI services to design virtual agents and create complex IVR call flows.
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This feature is available with Cisco subscription services only.
Regional Media services
CCAI services support regionalization. CCAI services are available with both default and remote PSTN regions in the Next Generation (RTMS) platform. For more information, see the Configure regional media for Virtual Agent-Voice article.
Supported Integrations
Webex Contact Center currently supports the following integrations:
- Google Dialogflow CX
- Google Dialogflow ES
Dialogflow CX agent is a virtual agent that handles concurrent conversations with your end users. It is a natural language understanding module that understands the nuances of human language. You can design and build agent bots to handle the types of conversations required for your system. For more information about CX, see the Google documentation.
The conversation between the virtual agent and the caller appears on the Transcript widget of the Agent Desktop.
The conversation appears on the Transcript widget only if the 'Agent Says' fulfillment response is set in Dialogflow CX.
Prerequisites
To integrate with the VAV provider, complete the following tasks:
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Configure the service provider-specific Integration Connector, such as the Google CCAI connector in Control Hub. For more information, see the Configure Google CCAI Connector topic in the Set Up Integration Connectors for Webex Contact Center article.
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Create the Contact Center AI (CCAI) feature in the Control Hub. For more information, see the Create a Contact Center AI configuration article. The system generates the CCAI config ID that you can use in the Flow Control configurations.
Supported features
Virtual-Agent-Voice with Dialogflow CX supports the following features:
- Partial response
- Custom event
- Custom parameters
Partial response
You can configure the partial response feature in CX to notify users while the Dialogflow agent fetches the response through webhook. For more information, see Configure Partial Response in Dialogflow CX.
Custom event
You can configure custom events and custom payload features in CX. The custom payload feature sends payload information from the Google CX application to the client side for processing. The custom event feature helps to select a particular event to be invoked under the CX application using the client-side API. For more information, see Configure custom events in Dialogflow CX.
Custom parameters
You can configure parameters in the Agent Builder console or in the Dialogflow CX console. Google Dialogflow CX application sends these parameters to the Webex Contact Center application for further processing. For more information, see Configure custom parameters in Dialogflow CX
Configure Virtual Agent V2 Activity
The Virtual Agent V2 activity provides a real-time conversational experience for your contacts. You can add the Virtual Agent V2 activity to the call flow to handle speech-based AI-enabled conversations. When a caller speaks, the system matches the speech to the best intent in the virtual agent. Further, it assists the caller as part of the Interactive Voice Response (IVR) experience.
OutcomesIndicates the output paths for the activity that occurs based on the outcome of the conversation between the virtual agent and the caller.
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Handled– The outcome is triggered when the virtual agent execution is completed.
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Escalated– The outcome is triggered when the call is required to be escalated to the human agent.
Indicates the output path of the activity for any error that occurs during the conversation between the virtual agent and the caller.
Errored– The flow takes this path in any error scenarios.
Before you begin
Configure the entry point and choose the routing flow (after creating the flow in the Flow Designer). For more information, see Set up a channel.
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From the Management Portal navigation bar, choose . |
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Click New. |
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In the Flow Name field, enter a unique name. |
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Click Start Building Flow. The Flow Designer window appears. |
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Drag and drop the Virtual Agent V2 activity from the Activity Library to the main flow canvas. |
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In General Settings, perform the following actions:
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In the Conversational Experience settings, choose one of the following options:
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In the State Event settings, enter the custom event name and the data in the Event Name - Event Data columns. The State Event is a mechanism to trigger the event handler that is configured on the agent bot. In the agent bot, you can configure how the event must be handled.
You can specify the event name and the data in the form of a static value or expression. For expressions, use this syntax: Event Name: Event Data: |
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In Advanced Settings, perform the following actions:
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In Activity Output Variables, you can view the list of variables that stores the output status of the event that occurs during the conversation between the virtual agent and the caller.
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Dialogflow ES agent is a virtual agent that handles concurrent conversations with your end users. It is a natural language understanding module that understands the nuances of human language. You can design and build agent bots to handle the types of conversations required for your system. For more information about Dialogflow ES, see the Google documentation.
The conversation between the virtual agent and the caller appears on the Transcript widget of the Agent Desktop. The conversation appears on the Transcript widget only if the 'Responses' is set in Dialogflow ES.
Prerequisites
To integrate with the Dialogflow ES, complete the following tasks:
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You need to have the Dialogflow Essentials edition to integrate with the Dialogflow ES.
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Configure the Google CCAI connector in Control Hub. For more information, see the Configure Google CCAI Connector topic in the Set Up Integration Connectors for Webex Contact Center article.
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Create the Contact Center AI (CCAI) feature in Control Hub. For more information, see the Create a Contact Center AI configuration article. The system generates the CCAI config ID that you can use in the Flow Control configurations.
Configure Virtual Agent V2 activity
The customers who use the Next Generation platform can configure the Virtual Agent V2 activity in the Flow Designer.
The Virtual Agent V2 activity provides a real-time conversational experience for your contacts. You can add the Virtual Agent V2 activity to the call flow to handle speech-based AI-enabled conversations. When a caller speaks, the system matches the speech to the best intent in the virtual agent. Further, it assists the caller as part of the Interactive Voice Response (IVR) experience.
More than one Virtual Agent V2 activity in the same branch in a call flow is not supported.
Indicates the output paths for the activity that occurs based on the outcome of the conversation between the virtual agent and the caller.
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Handled–The outcome is triggered when the virtual agent execution is completed.
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Escalated–The outcome is triggered when the call is required to be escalated to the human agent.
Indicates the output path of the activity for any error that occurs during the conversation between the virtual agent and the caller.
Errored–The flow takes this path in any error scenarios.
Default system-level settings
The following settings are defined in the system internally by default. These settings don't appear on the user interface and cannot be changed:
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Infinite number of retries for handling invalid or no input errors.
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Barge-in is enabled to interrupt the Virtual Agent during interaction.
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DTMF termination symbol = #. This setting indicates the end of the input.
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DTMF 'No-input timeout' = 5 seconds. This setting indicates the time duration for which the Virtual Agent waits for the caller's input.
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DTMF 'Inter-digit timeout' = 3 seconds. This setting indicates the time duration for which the Virtual Agent waits for the next DTMF input from the caller before the Virtual Agent moves on in the conversation flow.
Before you begin
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Set up a Dialogflow agent. For more information on building a Dialogflow agent in the Google Cloud, see Build an agent.
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Configure the Google CCAI connector and create a CCAI configuration in the Control Hub.
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Configure the entry point and choose the routing flow (once the flow is created in the Flow Designer). For more information, see Set up a channel.
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Sign in to Control Hub, choose . |
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Click Manage Flows and then click Create Flows. |
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In the Flow Name field, enter a unique name and click Start Building Flow. The Flow Designer window appears. |
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Drag and drop the Virtual Agent V2 activity from the Activity Library to the main flow canvas. |
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In General Settings, perform the following actions:
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In the Conversational Experience settings, choose one of the following Contact Center AI Config options:
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In the State Event settings, enter the custom event name and the data in the Event Name - Event Data columns. The state event is a mechanism to trigger the intent without the need for matched text or spoken input. You can define the custom events to trigger the intent. For information on how to configure the intent for events in Dialogflow ES, see Google documentation.
You can specify the event name and the data in the form of a static value or expression. For expressions, use this syntax: Event Name: Event Data: |
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In Advanced Settings, perform the following actions:
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In Activity Output Variables, you can view the list of variables that stores the output status of the event that occurs during the conversation between the virtual agent and the caller.
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IVR Transcript and global Variables in Agent Desktop
The administrator can provide access to an agent to view the Conversational IVR transcript and to view or edit the global (previously known as CAD) variables based on the configurations set in the call flow.
An agent can view the Conversational IVR transcript and the global variables extracted from the Conversational IVR transcript based on the permissions set in the call flow by the administrator. For more information on the Conversational IVR transcript in Agent Desktop, see IVR Transcript Widget.
For more information on the global variables in Agent Desktop, see Enter call-associated data variables.