Google AI and Zendesk Integration

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Automatically analyze Zendesk support tickets using Google AI for sentiment and topic, then route them intelligently. Latenode's visual editor makes complex AI workflows accessible, and you only pay for the execution time.

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Google AI

Zendesk

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google AI and Zendesk

Create a New Scenario to Connect Google AI and Zendesk

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 Zendesk will be your first step. To do this, click "Choose an app," find Google AI or Zendesk, 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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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 Zendesk Node

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

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Authenticate Zendesk

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

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Configure the Google AI and Zendesk 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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Run node once

Set Up the Google AI and Zendesk 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, Zendesk, 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 Zendesk integration works as expected. Depending on your setup, data should flow between Google AI and Zendesk (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 Zendesk

Zendesk + Google AI + Slack: When a new ticket is created in Zendesk, Google AI analyzes the ticket description. If the AI detects urgency based on keywords, a message is sent to a designated Slack channel to notify the support team.

Zendesk + Google AI + Google Sheets: When a ticket is updated in Zendesk, Google AI summarizes the ticket details and adds a row in Google Sheets with the ticket ID and summary for reporting purposes.

Google AI and Zendesk 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 Zendesk

Automate Zendesk ticket management within Latenode. Update tickets based on external events, route requests using AI, and sync data across platforms. Close the loop between support and other systems using visual flows, JavaScript, and webhooks—reducing manual work.

See how Latenode works

FAQ Google AI and Zendesk

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

To connect your Google AI account to Zendesk 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 Zendesk accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically summarize Zendesk tickets using Google AI?

Yes, you can! Latenode enables this, streamlining support. Automatically summarize lengthy tickets to quickly understand customer issues & improve agent response times.

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

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

  • Automatically categorizing Zendesk tickets based on content.
  • Generating suggested responses for support agents using AI.
  • Analyzing customer sentiment from tickets to identify priority issues.
  • Extracting key information from tickets to update customer profiles.
  • Translating tickets into different languages for global support.

How does Latenode improve Zendesk data sent to Google AI?

Latenode enriches Zendesk data via pre-processing and custom JavaScript steps, ensuring accurate AI analysis and better insights.

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

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

  • Rate limits imposed by Google AI and Zendesk APIs may affect performance.
  • Complex workflows with extensive data transformations can increase execution time.
  • Custom JavaScript code requires technical expertise for implementation.

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