How to connect Google Vertex AI and Zendesk
Create a New Scenario to Connect Google Vertex 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 Vertex AI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Vertex AI or Zendesk will be your first step. To do this, click "Choose an app," find Google Vertex AI or Zendesk, and select the appropriate trigger to start the scenario.

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

Google Vertex AI
Configure the Google Vertex AI
Click on the Google Vertex AI node to configure it. You can modify the Google Vertex AI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Zendesk Node
Next, click the plus (+) icon on the Google Vertex 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.
Configure the Google Vertex 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.
Set Up the Google Vertex 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Vertex 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 Vertex AI and Zendesk integration works as expected. Depending on your setup, data should flow between Google Vertex 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 Vertex AI and Zendesk
Zendesk + Google Vertex AI + Slack: When a new ticket is created in Zendesk, analyze its content using Google Vertex AI to determine the sentiment. If the sentiment is negative, send a message to a designated Slack channel to alert the team.
Zendesk + Google Vertex AI + Google Sheets: When a ticket is updated in Zendesk, summarize the ticket content using Google Vertex AI. Then, log the summary and other relevant ticket information (e.g., ticket ID, creation date) into a Google Sheet for reporting and trend analysis.
Google Vertex AI and Zendesk integration alternatives
About Google Vertex AI
Use Vertex AI in Latenode to build AI-powered automation. Quickly integrate machine learning models for tasks like sentiment analysis or image recognition. Automate data enrichment or content moderation workflows without complex coding. Latenode’s visual editor makes it easier to chain AI tasks and scale them reliably, paying only for the execution time of each flow.
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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.
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FAQ Google Vertex AI and Zendesk
How can I connect my Google Vertex AI account to Zendesk using Latenode?
To connect your Google Vertex AI account to Zendesk on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Vertex AI and click on "Connect".
- Authenticate your Google Vertex AI and Zendesk accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically tag Zendesk tickets based on AI sentiment analysis?
Yes, with Latenode! Use Google Vertex AI to analyze ticket sentiment, then automatically tag tickets in Zendesk. Latenode's visual editor simplifies this complex automation.
What types of tasks can I perform by integrating Google Vertex AI with Zendesk?
Integrating Google Vertex AI with Zendesk allows you to perform various tasks, including:
- Automatically categorizing Zendesk tickets using AI-powered text analysis.
- Generating suggested responses for Zendesk agents based on ticket content.
- Analyzing customer sentiment from Zendesk tickets to identify urgent issues.
- Summarizing lengthy Zendesk tickets using Google Vertex AI's summarization capabilities.
- Identifying recurring themes in Zendesk tickets to improve support documentation.
Can I use custom models from Google Vertex AI within my Latenode Zendesk automations?
Yes! Latenode supports custom models from Google Vertex AI. Leverage your fine-tuned AI within Zendesk workflows for tailored insights and automations.
Are there any limitations to the Google Vertex AI and Zendesk integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by Google Vertex AI and Zendesk may affect performance.
- Complex AI models might require significant processing time.
- Custom code might be needed for highly specific data transformations.