SmartSuite and Google Vertex AI Integration

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SmartSuite + Google Vertex AI integration

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SmartSuite

Google Vertex AI

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect SmartSuite and Google Vertex AI

Create a New Scenario to Connect SmartSuite and Google Vertex AI

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

Add the SmartSuite Node

Select the SmartSuite node from the app selection panel on the right.

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Configure the SmartSuite

Click on the SmartSuite node to configure it. You can modify the SmartSuite URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Sign In

Run node once

Add the Google Vertex AI Node

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

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Google Vertex AI

Authenticate Google Vertex AI

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

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Configure the SmartSuite and Google Vertex AI 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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Google Vertex AI Oauth 2.0

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Select an action *

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The action ID

Run node once

Set Up the SmartSuite and Google Vertex AI 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 SmartSuite, Google Vertex AI, 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 SmartSuite and Google Vertex AI integration works as expected. Depending on your setup, data should flow between SmartSuite and Google Vertex AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect SmartSuite and Google Vertex AI

SmartSuite + Google Vertex AI + Slack: When new customer feedback is submitted in SmartSuite, the data is sent to Google Vertex AI to analyze sentiment. A summary of the sentiment analysis is then posted to a designated Slack channel.

Google Vertex AI + SmartSuite + Google Sheets: After analyzing text in Google Vertex AI, key data points are extracted. These points are used to update specific fields within a SmartSuite record, and finally, the updated record information is logged to a Google Sheet for tracking.

SmartSuite and Google Vertex AI integration alternatives

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.

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.

See how Latenode works

FAQ SmartSuite and Google Vertex AI

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

To connect your SmartSuite account to Google Vertex AI on Latenode, follow these steps:

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

Can I automatically categorize SmartSuite records using Vertex AI?

Yes, you can! Latenode enables seamless data transfer, so you can send SmartSuite data to Vertex AI for analysis and automatically update record categories based on AI insights.

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

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

  • Generate summaries of SmartSuite records using Vertex AI's natural language models.
  • Analyze customer feedback stored in SmartSuite to identify key themes.
  • Automate sentiment analysis of text fields within SmartSuite solutions.
  • Predict project completion timelines based on historical SmartSuite data.
  • Enhance data validation by leveraging AI to identify and flag anomalies.

How does Latenode handle complex logic when using SmartSuite data?

Latenode provides visual tools and JavaScript blocks to implement advanced conditions and data transformations, making workflows flexible and powerful.

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

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

  • Large data volumes may impact processing time, requiring optimization.
  • Vertex AI costs are separate and depend on your usage of the Google Cloud Platform.
  • Custom AI model training requires familiarity with Vertex AI's platform.

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