Google AI and LiveChat Integration

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Automatically summarize LiveChat conversations using Google AI. Latenode’s visual editor makes it easy to integrate AI into workflows and add custom logic using JavaScript, helping you understand customer needs and improve support, all while keeping costs low.

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Google AI

LiveChat

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google AI and LiveChat

Create a New Scenario to Connect Google AI and LiveChat

In the workspace, click the “Create New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google AI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google AI or LiveChat will be your first step. To do this, click "Choose an app," find Google AI or LiveChat, and select the appropriate trigger to start the scenario.

Add the Google AI Node

Select the Google AI node from the app selection panel on the right.

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Google AI

Configure the Google AI

Click on the Google AI node to configure it. You can modify the Google AI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Run node once

Add the LiveChat Node

Next, click the plus (+) icon on the Google AI node, select LiveChat from the list of available apps, and choose the action you need from the list of nodes within LiveChat.

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Authenticate LiveChat

Now, click the LiveChat node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your LiveChat settings. Authentication allows you to use LiveChat through Latenode.

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Connect LiveChat

Sign In

Run node once

Configure the Google AI and LiveChat Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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The action ID

Run node once

Set Up the Google AI and LiveChat Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring Google AI, LiveChat, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking “Run once” and triggering an event to check if the Google AI and LiveChat integration works as expected. Depending on your setup, data should flow between Google AI and LiveChat (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Google AI and LiveChat

LiveChat + Google AI + Slack: When a new chat starts in LiveChat, the conversation is analyzed using Google AI to identify the topic and sentiment. A summary and suggested resolution are then posted to a dedicated Slack channel for agents to review.

LiveChat + Google AI + Zendesk: After a LiveChat session ends, the transcript is summarized using Google AI. If the AI determines the issue is unresolved, a Zendesk ticket is automatically created to ensure follow-up.

Google AI and LiveChat integration alternatives

About Google AI

Use Google AI in Latenode to add smarts to your workflows. Process text, translate languages, or analyze images automatically. Unlike direct API calls, Latenode lets you combine AI with other apps, add logic, and scale without code. Automate content moderation, sentiment analysis, and more.

About LiveChat

Integrate LiveChat into Latenode to automate support workflows. Route chats based on keywords, tag conversations, or trigger automated responses. Connect LiveChat data to other apps (CRM, databases) for unified insights. Simplify complex routing and ensure agents have context – all visually, and without code.

See how Latenode works

FAQ Google AI and LiveChat

How can I connect my Google AI account to LiveChat using Latenode?

To connect your Google AI account to LiveChat on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Google AI and click on "Connect".
  • Authenticate your Google AI and LiveChat accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically summarize chat transcripts?

Yes! Latenode lets you use Google AI to summarize LiveChat conversations. This saves support teams time and quickly provides valuable insights from customer interactions.

What types of tasks can I perform by integrating Google AI with LiveChat?

Integrating Google AI with LiveChat allows you to perform various tasks, including:

  • Automatically detect customer sentiment during a chat session.
  • Route chats to the most appropriate agent based on intent.
  • Generate instant answers using Google AI for common questions.
  • Translate chat messages in real-time for multilingual support.
  • Create summaries of resolved issues using AI after each conversation.

Can I use Google AI to personalize LiveChat responses?

Yes, with Latenode you can create dynamic, personalized responses. Use AI to tailor content based on user data and improve engagement.

Are there any limitations to the Google AI and LiveChat integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Google AI usage is subject to its own rate limits and API costs.
  • Complex AI workflows may require advanced JavaScript knowledge.
  • The quality of AI responses depends on the prompt's clarity.

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