How to connect Google Vertex AI and Launch27
Create a New Scenario to Connect Google Vertex AI and Launch27
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 Launch27 will be your first step. To do this, click "Choose an app," find Google Vertex AI or Launch27, 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 Launch27 Node
Next, click the plus (+) icon on the Google Vertex AI node, select Launch27 from the list of available apps, and choose the action you need from the list of nodes within Launch27.

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Authenticate Launch27
Now, click the Launch27 node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Launch27 settings. Authentication allows you to use Launch27 through Latenode.
Configure the Google Vertex AI and Launch27 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 Launch27 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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Launch27
Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Vertex AI, Launch27, 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 Launch27 integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Launch27 (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 Launch27
Slack + Google Vertex AI + Launch27: When a new message is posted to a Slack channel, Google Vertex AI analyzes the message for potential customer support issues. If issues are detected, Launch27 updates the booking for the customer involved.
Launch27 + Google Vertex AI + Gmail: When a new cleaning is booked in Launch27, Google Vertex AI analyzes past customer reviews. Based on the analysis, Gmail sends an email to the cleaning team with customer-specific tips.
Google Vertex AI and Launch27 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 Launch27
Automate Launch27 booking & service management within Latenode. Create flows that sync bookings with calendars, trigger follow-ups based on booking status, or generate reports. Use Latenode's visual builder & JS node for custom logic, connecting Launch27 data to other apps without code limits. Scale operations with affordable, usage-based pricing.
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See how Latenode works
FAQ Google Vertex AI and Launch27
How can I connect my Google Vertex AI account to Launch27 using Latenode?
To connect your Google Vertex AI account to Launch27 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 Launch27 accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze customer feedback to improve service offerings?
Yes, you can! Latenode lets you use Vertex AI to analyze Launch27 reviews & auto-adjust services. This enhances customer satisfaction through data-driven decisions and personalized experiences.
What types of tasks can I perform by integrating Google Vertex AI with Launch27?
Integrating Google Vertex AI with Launch27 allows you to perform various tasks, including:
- Automatically classify customer support requests for faster issue resolution.
- Generate personalized upsell offers based on customer booking history.
- Predict potential booking cancellations using historical data patterns.
- Analyze service quality feedback to identify areas for improvement.
- Automate review summarization for quick insights on service performance.
How does Latenode handle Google Vertex AI authentication securely?
Latenode uses OAuth 2.0 for secure Google Vertex AI authentication. Credentials are encrypted and stored securely, ensuring data privacy and compliance.
Are there any limitations to the Google Vertex AI and Launch27 integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex AI models may require significant processing time.
- Launch27's API rate limits can affect high-volume workflows.
- Custom Vertex AI models require separate setup and configuration.