How to connect Google Vertex AI and Smartsheet
Create a New Scenario to Connect Google Vertex AI and Smartsheet
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 Smartsheet will be your first step. To do this, click "Choose an app," find Google Vertex AI or Smartsheet, 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 Smartsheet Node
Next, click the plus (+) icon on the Google Vertex AI node, select Smartsheet from the list of available apps, and choose the action you need from the list of nodes within Smartsheet.

Google Vertex AI
⚙

Smartsheet

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

JavaScript
⚙
AI Anthropic Claude 3
⚙

Smartsheet
Trigger on Webhook
⚙
Google Vertex AI
⚙
⚙
Iterator
⚙
Webhook response

Save and Activate the Scenario
After configuring Google Vertex AI, Smartsheet, 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 Smartsheet integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Smartsheet (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 Smartsheet
Smartsheet + Google Vertex AI + Slack: When a new event occurs in Smartsheet, the row data is sent to Google Vertex AI for sentiment analysis. If the sentiment score is negative, a notification is sent to a Slack channel.
Smartsheet + Google Vertex AI + Gmail: When a new event occurs in Smartsheet, the relevant project information is sent to Google Vertex AI to generate a summary. This summary is then emailed to stakeholders via Gmail.
Google Vertex AI and Smartsheet 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.
Similar apps
Related categories

About Smartsheet
Use Smartsheet in Latenode to automate project tracking and data collection. Update sheets from any trigger, like form submissions or database changes. Automate reporting by sending data to other apps and skip manual updates. Low-code tools and JS nodes add custom logic for advanced workflow control.
Related categories
See how Latenode works
FAQ Google Vertex AI and Smartsheet
How can I connect my Google Vertex AI account to Smartsheet using Latenode?
To connect your Google Vertex AI account to Smartsheet 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 Smartsheet accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update Smartsheet with AI-generated content?
Yes, you can! Latenode allows seamless data transfer between Google Vertex AI and Smartsheet, automating content creation and updates. This saves time and ensures data consistency across platforms.
What types of tasks can I perform by integrating Google Vertex AI with Smartsheet?
Integrating Google Vertex AI with Smartsheet allows you to perform various tasks, including:
- Automatically categorizing Smartsheet data using AI models.
- Generating summaries of Smartsheet rows with Vertex AI.
- Predicting project completion dates based on Smartsheet data.
- Analyzing sentiment of feedback collected in Smartsheet.
- Translating Smartsheet content into multiple languages.
What Google Vertex AI models can I use within Latenode workflows?
You can utilize any Google Vertex AI model available to your account, including custom-trained models, directly within your Latenode workflows.
Are there any limitations to the Google Vertex AI and Smartsheet integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations may require custom JavaScript code.
- Large data volumes might impact workflow execution time.
- Real-time synchronization depends on the APIs' update frequency.