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Getting started with AI Copilot

In this getting started guide, you will learn how to configure your first AI Copilot workspace. The AI Copilot workspace comes with a pre-built grid configuration, which you can edit directly from the Flow for more flexibility with different layouts. Alternatively, you can also manually configure your AI Copilot workspace using the API Post request.

Before you Begin

AI Copilot is automatically activated on Cognigy Trial and Cognigy shared SaaS environments.

To activate this feature in other environments, do the following:

Create Flows

To get started with the service:

  1. Go to the Cognigy.AI interface.
  2. Create a Project or use an existing one.
  3. In the left-side menu of your Project, select Build > Flows.
  4. Create a Flow or use an existing one, which will include a handover or transfer to a human agent.
  5. Create a second Flow for AI Copilot.
  6. In the AI Copilot Flow, add the Set Grid Node to modify and preview your grid from within the Flow.
  7. Add your desired AI Copilot Flow Nodes. For example, a Profile Node with your user's most important information, an AI-powered Sentiment Node displaying the user's current attitude, or a Transcript Node with the transcribed content of the conversation.
  8. Add the content that will be displayed within the AI Copilot workspace.
  9. Make sure that the Title ID's in the Nodes correspond to the titles in Copilot Grid Configuration in the Set Grid Node.

Check that you have two Flows: the Main Flow and the AI Copilot Flow.

Create an Endpoint

To create your Endpoint, follow these steps:

  1. Go to the Cognigy.AI interface.
  2. In the left-side menu, select Deploy > Endpoint.
  3. Click +New Endpoint.
  4. In the New Endpoint window, add an Endpoint name and select your AI Agent Flow that hands you over to a human agent.
  5. In the Endpoint type list, select your desired Endpoint.
  6. Click Save.
  7. On the Endpoint Settings page, go to the Handover Settings section and select your handover platform.
  8. Go to the Copilot section and select Workspace from the Copilot Type list.
  9. From the Copilot Flow list, select the previously created AI Copilot Flow. The Flow will be executed once the conversation is handed over to a human agent.
  10. From the Copilot Config list, select None to use the default AI Copilot configuration.
  11. (Optional) Add a Transcript Tile to display the conversation with the customer, by enabling the Enable Transcript Tile with ID 'transcript' in the AI Copilot Workspace toggle in the Copilot section. Make sure to add the transcript Transcript Tile ID in your AI Copilot grid to display the transcript to the human agent. This Endpoint toggle in turn enables additional settings:
    • Enable the chat input for the Transcript Tile to enable the agent to send messages to the customer — enables the human agent to send messages from the Transcript Tile.
    • Enable redaction of Transcript Tile messages - lets you hide sensitive data from the Transcript Tile.
  12. Click Save.

Explore the AI Copilot Workspace

By now, your Copilot grid and connection should be set up and ready for testing.

To observe the AI Copilot workspace, start a conversation with your AI Agent in the chat. In another tab, open your contact center desktop, for example Live Agent, and work through the Flow until the Handover to Agent Node.

If you are using the standalone version of AI Copilot together with a provider that doesn't offer native AI Copilot support, for example RingCentral Engage or Salesforce, you will receive a link to your AI Copilot Workspace in the chat.

After the handover, the conversation history with the AI Agent and the current intent are forwarded to the human agent, together with a specific link to access the AI Copilot Workspace.

In case you are using the embedded version, the AI Copilot Workspace will be shown within an iFrame in your contact center desktop.

Once the human agent engages with the conversation, the grid will show an empty state with outlines of the widgets.

The widgets will populate with content once the customer starts the conversation.

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