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

Google Vertex AI
⚙
NoCRM
Authenticate NoCRM
Now, click the NoCRM node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your NoCRM settings. Authentication allows you to use NoCRM through Latenode.
Configure the Google Vertex AI and NoCRM 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 NoCRM 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
⚙
NoCRM
Trigger on Webhook
⚙
Google Vertex AI
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring Google Vertex AI, NoCRM, 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 NoCRM integration works as expected. Depending on your setup, data should flow between Google Vertex AI and NoCRM (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 NoCRM
NoCRM + Google Vertex AI + Slack: When a lead is commented on in NoCRM, the comment is sent to Google Vertex AI for sentiment analysis. If the sentiment is negative, a notification is sent to a Slack channel.
NoCRM + Google Vertex AI + Google Sheets: When a new lead is created in NoCRM, the lead details are added to a Google Sheet. Google Vertex AI then analyzes the lead's description to predict the probability of deal closure, and updates the sheet accordingly.
Google Vertex AI and NoCRM 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 NoCRM
Use NoCRM with Latenode to automate your sales pipeline. Automatically create new leads, update existing records, or trigger follow-up actions based on status changes. Latenode lets you connect NoCRM data to other apps, enrich it with AI, and build custom workflows for lead qualification, all without code and scalable to your needs.
Similar apps
Related categories
See how Latenode works
FAQ Google Vertex AI and NoCRM
How can I connect my Google Vertex AI account to NoCRM using Latenode?
To connect your Google Vertex AI account to NoCRM 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 NoCRM accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I enrich leads with AI-powered data using Vertex and NoCRM?
Yes, you can! Latenode enables seamless integration, allowing Vertex AI to analyze data and automatically update lead information in NoCRM, ensuring your team has richer, more actionable insights.
What types of tasks can I perform by integrating Google Vertex AI with NoCRM?
Integrating Google Vertex AI with NoCRM allows you to perform various tasks, including:
- Automatically classify and prioritize leads based on AI-driven scoring.
- Generate personalized email content using Vertex AI for NoCRM contacts.
- Analyze customer interactions to predict sales outcomes.
- Extract key information from customer emails to update NoCRM records.
- Automatically translate customer communications within NoCRM.
How does Latenode handle Google Vertex AI authentication?
Latenode uses secure OAuth to authenticate Google Vertex AI, ensuring your credentials are safe and your connection is reliable for all workflows.
Are there any limitations to the Google Vertex AI and NoCRM integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data volumes may impact processing speed.
- Custom AI model deployments in Vertex AI require advanced configuration.
- NoCRM API rate limits may affect high-volume data transfers.