Google Vertex AI and Freshdesk Integration

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Automate Freshdesk ticket analysis using Google Vertex AI for sentiment & topic extraction. Latenode's visual editor and custom JavaScript blocks let you tailor AI-powered support workflows without complex coding and at a fraction of the cost.

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Google Vertex AI

Freshdesk

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Vertex AI and Freshdesk

Create a New Scenario to Connect Google Vertex AI and Freshdesk

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

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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.

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Run node once

Add the Freshdesk Node

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

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Authenticate Freshdesk

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

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Configure the Google Vertex AI and Freshdesk 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 Vertex AI and Freshdesk 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 Vertex AI, Freshdesk, 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 Freshdesk integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Freshdesk (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 Freshdesk

Freshdesk + Google Vertex AI + Slack: When a new ticket is created in Freshdesk, its content is analyzed by Vertex AI to determine the sentiment. If the sentiment is negative, a message is sent to a designated Slack channel to alert the support team.

Freshdesk + Google Vertex AI + Google Sheets: When a new ticket is created in Freshdesk, Vertex AI generates a summary of the ticket. The summary, along with the ticket ID, is then added as a new row in a Google Sheets spreadsheet for tracking and analysis.

Google Vertex AI and Freshdesk 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.

About Freshdesk

Sync Freshdesk tickets with other apps in Latenode to automate support workflows. Update databases, trigger alerts, or generate reports based on ticket status, all without code. Connect Freshdesk to your CRM or marketing tools to close the loop on customer issues. Less manual work, more automation.

See how Latenode works

FAQ Google Vertex AI and Freshdesk

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

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

Can I automatically analyze customer support tickets with AI?

Yes, you can! Latenode’s visual editor makes it easy to send Freshdesk tickets to Google Vertex AI for sentiment analysis, routing urgent issues faster and improving response times.

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

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

  • Automatically classify support tickets using AI models.
  • Summarize lengthy customer inquiries using Vertex AI.
  • Translate customer support requests into different languages.
  • Detect the sentiment of customer feedback and prioritize responses.
  • Suggest relevant knowledge base articles based on ticket content.

What Google Vertex AI models work best for Freshdesk automation?

Language models like Text Bison are ideal for sentiment analysis, summarization, and classification in your Freshdesk workflows, all in Latenode.

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

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

  • The number of requests to Google Vertex AI is limited by your Google Cloud project's quota.
  • Large data transfers between apps may impact workflow execution speed.
  • Custom model training requires a separate Google Vertex AI setup process.

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