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

Add the Microsoft Excel Node
Select the Microsoft Excel node from the app selection panel on the right.


Microsoft Excel

Configure the Microsoft Excel
Click on the Microsoft Excel node to configure it. You can modify the Microsoft Excel URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Google Vertex AI Node
Next, click the plus (+) icon on the Microsoft Excel 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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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.
Configure the Microsoft Excel 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.
Set Up the Microsoft Excel 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Microsoft Excel, 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 Microsoft Excel and Google Vertex AI integration works as expected. Depending on your setup, data should flow between Microsoft Excel 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 Microsoft Excel and Google Vertex AI
Microsoft Excel + Google Vertex AI + Slack: When a new row is added to an Excel table containing customer feedback, the text is analyzed using Google Vertex AI to determine its sentiment. Based on the sentiment analysis, a message is sent to a relevant Slack channel to alert the appropriate team.
Google Sheets + Google Vertex AI + Microsoft Excel: When a new row is added to Google Sheets containing product reviews, the review text is summarized using Google Vertex AI. The summary and other key information are then added as a new row to a Microsoft Excel table, providing a structured log of review insights.
Microsoft Excel and Google Vertex AI integration alternatives

About Microsoft Excel
Automate Excel tasks within Latenode workflows. Read, update, or create spreadsheets directly. Use Excel data to trigger actions in other apps, generate reports, or update databases. No manual data entry; improve accuracy and save time by connecting Excel to other systems via Latenode's visual interface.
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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.
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FAQ Microsoft Excel and Google Vertex AI
How can I connect my Microsoft Excel account to Google Vertex AI using Latenode?
To connect your Microsoft Excel account to Google Vertex AI on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Microsoft Excel and click on "Connect".
- Authenticate your Microsoft Excel and Google Vertex AI accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze Excel data with Vertex AI models?
Yes, you can! Latenode simplifies this, letting you automatically send Excel data to Vertex AI for analysis and then write the results back into your spreadsheet.
What types of tasks can I perform by integrating Microsoft Excel with Google Vertex AI?
Integrating Microsoft Excel with Google Vertex AI allows you to perform various tasks, including:
- Automatically generate product descriptions from data stored in Excel sheets.
- Predict sales trends based on historical Excel data using Vertex AI's forecasting models.
- Classify customer feedback from Excel into sentiment categories.
- Enrich product data within Excel spreadsheets using AI-powered insights.
- Automate data validation in Excel with AI-driven quality checks.
How secure is my Excel data when using this integration?
Latenode employs robust security measures, including encryption and access controls, ensuring the confidentiality and integrity of your data.
Are there any limitations to the Microsoft Excel and Google Vertex AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large Excel files may take longer to process, depending on available resources.
- Complex Vertex AI models may require adjustments to data formatting for optimal results.
- Real-time synchronization between Excel and Vertex AI isn't supported; data updates are batched.