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

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Process Street

Authenticate Process Street
Now, click the Process Street node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Process Street settings. Authentication allows you to use Process Street through Latenode.
Configure the Google Vertex AI and Process Street 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 Process Street 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
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AI Anthropic Claude 3
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Process Street
Trigger on Webhook
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Google Vertex AI
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring Google Vertex AI, Process Street, 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 Process Street integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Process Street (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 Process Street
Gmail + Google Vertex AI + Slack: When a new email arrives in Gmail, Google Vertex AI analyzes the email content for customer feedback. If negative feedback is detected, a notification is sent to a dedicated Slack channel for immediate action.
Process Street + Google Vertex AI + Gmail: When a Process Street checklist is completed, Google Vertex AI summarizes the findings. This summary is then emailed to stakeholders using Gmail.
Google Vertex AI and Process Street 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 Process Street
Use Process Street in Latenode to run repeatable tasks like onboarding or reports as part of larger workflows. Automatically trigger actions in other apps (CRM, databases) when checklist items are completed, keeping processes moving. This avoids manual updates and ensures audit trails, all at Latenode's execution-based pricing.
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FAQ Google Vertex AI and Process Street
How can I connect my Google Vertex AI account to Process Street using Latenode?
To connect your Google Vertex AI account to Process Street 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 Process Street accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update Process Street checklists with Vertex AI analysis?
Yes, you can! Latenode enables seamless data transfer, letting you trigger checklist updates in Process Street based on sentiment analysis results from Google Vertex AI, streamlining your workflows.
What types of tasks can I perform by integrating Google Vertex AI with Process Street?
Integrating Google Vertex AI with Process Street allows you to perform various tasks, including:
- Automatically starting checklists based on AI-driven data analysis.
- Updating checklist items with text generated by Google Vertex AI.
- Triggering alerts in Process Street from Google Vertex AI anomaly detection.
- Using AI to score checklist responses and route tasks accordingly.
- Creating Process Street reports based on Vertex AI insights.
What Google Vertex AI models are supported via Latenode integration?
Latenode supports Google Vertex AI's text, image, and video models. Leverage them all in your Process Street automations.
Are there any limitations to the Google Vertex AI and Process Street integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations might require JavaScript knowledge.
- Google Vertex AI quotas and limits still apply within Latenode.
- Process Street's API rate limits can affect high-volume workflows.