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

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Authenticate Systeme IO
Now, click the Systeme IO node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Systeme IO settings. Authentication allows you to use Systeme IO through Latenode.
Configure the Google Vertex AI and Systeme IO 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 Systeme IO 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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AI Anthropic Claude 3
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Systeme IO
Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Vertex AI, Systeme IO, 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 Systeme IO integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Systeme IO (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 Systeme IO
Systeme IO + Google Vertex AI + Google Sheets: When a new event occurs in Systeme IO (e.g., new form submission or purchase), analyze the associated customer feedback using Google Vertex AI to determine sentiment. Log the sentiment score along with the feedback in a Google Sheet for review.
Systeme IO + Google Vertex AI + Discord bot: When a new course is sold in Systeme IO, use Google Vertex AI to generate a personalized welcome message based on course details. Post this welcome message to a designated Discord channel.
Google Vertex AI and Systeme IO 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.
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About Systeme IO
Use Systeme IO in Latenode to automate marketing workflows. Connect it to other apps, process form data, and manage contacts in a visual builder. Unlike standalone setups, Latenode lets you add custom logic with JavaScript, enrich data, and scale automation without step limits. Perfect for complex marketing funnels.
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FAQ Google Vertex AI and Systeme IO
How can I connect my Google Vertex AI account to Systeme IO using Latenode?
To connect your Google Vertex AI account to Systeme IO 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 Systeme IO accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically personalize Systeme IO course content with AI?
Yes! Latenode lets you use Google Vertex AI to generate personalized content within Systeme IO. This enhances user engagement and course effectiveness.
What types of tasks can I perform by integrating Google Vertex AI with Systeme IO?
Integrating Google Vertex AI with Systeme IO allows you to perform various tasks, including:
- Generate unique Systeme IO landing page copy using AI models.
- Automatically create personalized email sequences for leads.
- Analyze student performance data to suggest tailored learning paths.
- Enhance course content using AI-powered content generation.
- Automate creation of marketing materials for Systeme IO courses.
How does Latenode handle data security between Google Vertex AI?
Latenode employs robust encryption and access controls to ensure the secure transfer and storage of data between apps.
Are there any limitations to the Google Vertex AI and Systeme IO integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers may impact workflow execution speed.
- Complex AI model deployments might require optimized workflow design.
- Rate limits on either platform can affect automation performance.