AI Agent and Zendesk Integration

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AI agent that builds your workflows for you

Hundreds of apps to connect

Automatically escalate complex Zendesk support tickets to AI Agent for nuanced analysis and resolution. Build this automation visually in Latenode and add custom JavaScript logic for total control at an affordable pay-per-execution price.

Swap Apps

AI Agent

Zendesk

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect AI Agent and Zendesk

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

Add the AI Agent Node

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

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Configure the AI Agent

Click on the AI Agent node to configure it. You can modify the AI Agent 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 AI Agent 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 AI Agent 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 AI Agent 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 AI Agent, 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 AI Agent and Zendesk integration works as expected. Depending on your setup, data should flow between AI Agent 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 AI Agent and Zendesk

Zendesk + AI Agent + Slack: When a new ticket is created in Zendesk, an AI agent summarizes the ticket details. The summary is then posted to a designated Slack channel for quick review by support team members.

Zendesk + AI Agent + Google Sheets: Upon creation of a new ticket in Zendesk, an AI Agent analyzes the ticket to determine its category. The category is then logged into a Google Sheet for reporting and tracking purposes.

AI Agent and Zendesk integration alternatives

About AI Agent

Use AI Agent in Latenode to automate content creation, data analysis, or customer support. Configure agents with prompts, then integrate them into workflows. Unlike standalone solutions, Latenode lets you connect AI to any app, scale automatically, and customize with code where needed.

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 AI Agent and Zendesk

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

To connect your AI Agent account to Zendesk on Latenode, follow these steps:

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

Can I automatically summarize Zendesk tickets using AI Agent?

Yes, you can! Latenode lets you trigger AI Agent to summarize new Zendesk tickets, saving time and providing instant overviews. Plus, scale with no-code and code blocks.

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

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

  • Automatically tagging Zendesk tickets based on AI Agent analysis.
  • Generating suggested responses for Zendesk agents using AI Agent.
  • Creating summaries of complex Zendesk tickets for faster review.
  • Analyzing customer sentiment from Zendesk tickets using AI Agent.
  • Updating Zendesk ticket status based on AI Agent-driven insights.

Can AI Agent triage Zendesk tickets based on urgency in Latenode?

Yes, AI Agent can analyze tickets and set priority levels in Zendesk via Latenode, ensuring urgent issues are addressed immediately.

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

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

  • Complex AI Agent models may require significant Latenode execution time.
  • Zendesk API rate limits may impact high-volume automated workflows.
  • Custom AI Agent training requires careful dataset preparation.

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