Google Vertex AI and SmartSuite Integration

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Enrich SmartSuite records with AI insights using Google Vertex AI. Latenode’s visual editor and flexible JavaScript nodes make it easy to customize AI-driven data enrichment workflows, scaling affordably with execution-based pricing.

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Google Vertex AI

SmartSuite

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Vertex AI and SmartSuite

Create a New Scenario to Connect Google Vertex AI and SmartSuite

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

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

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Authenticate SmartSuite

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

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

Slack + Google Vertex AI + SmartSuite: When a new message is posted to a Slack channel, it's analyzed by Google Vertex AI for sentiment. The results, along with the original message, are then stored as a new record in SmartSuite.

SmartSuite + Google Vertex AI + Google Sheets: When a new record is created in SmartSuite, its content is summarized using Google Vertex AI. The summary is then added as a new row to a specified Google Sheet for reporting purposes.

Google Vertex AI and SmartSuite 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 SmartSuite

Use SmartSuite in Latenode to build flexible data workflows. Automate tasks like project management, CRM updates, or inventory tracking. Latenode adds custom logic, AI processing, and file handling to SmartSuite's structured data, creating scalable solutions that go beyond basic automation.

See how Latenode works

FAQ Google Vertex AI and SmartSuite

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

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

Can I automatically categorize support tickets using AI and SmartSuite?

Yes, easily! Latenode allows prompt-based AI for automated ticket categorization. Route tickets instantly, saving valuable time and improving response accuracy thanks to Google Vertex AI.

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

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

  • Generate summaries of customer feedback stored in SmartSuite.
  • Automatically classify and tag new leads added to SmartSuite.
  • Create AI-powered content for SmartSuite marketing campaigns.
  • Analyze sentiment of survey responses recorded in SmartSuite.
  • Predict project risks based on data stored within SmartSuite.

How secure is connecting Google Vertex AI to Latenode?

Latenode uses secure protocols for authentication and data transfer. You control permissions, safeguarding your Google Vertex AI and SmartSuite data at all times.

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

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

  • Complex data transformations may require JavaScript knowledge.
  • High-volume Vertex AI requests can impact workflow execution time.
  • SmartSuite API rate limits may affect large-scale data processing.

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