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

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Wrike

Authenticate Wrike
Now, click the Wrike node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Wrike settings. Authentication allows you to use Wrike through Latenode.
Configure the Google Vertex AI and Wrike 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 Wrike 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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Wrike
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, Wrike, 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 Wrike integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Wrike (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 Wrike
Wrike + Google Vertex AI + Slack: When a new task is created in Wrike, analyze its description using Google Vertex AI to determine its priority. Then, if the task is high priority, send a notification to a designated Slack channel.
Wrike + Google Vertex AI + Google Sheets: When a new task is created in Wrike, use Google Vertex AI to categorize the support request based on the task description. Then, add a new row to a Google Sheet to track the categorization results for trend analysis.
Google Vertex AI and Wrike 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 Wrike
Automate Wrike project updates and task assignments directly from other apps using Latenode. Sync data between Wrike and your CRM, database, or calendar. Create custom triggers based on project status changes and automate reporting. Latenode provides flexible integration with no-code tools or custom JavaScript, allowing you to tailor Wrike workflows without step limits.
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FAQ Google Vertex AI and Wrike
How can I connect my Google Vertex AI account to Wrike using Latenode?
To connect your Google Vertex AI account to Wrike 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 Wrike accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically summarize Wrike tasks using Google Vertex AI?
Yes, you can! Latenode allows you to trigger Google Vertex AI summaries whenever new tasks are created in Wrike. Benefit from AI-powered insights directly within your project management workflow.
What types of tasks can I perform by integrating Google Vertex AI with Wrike?
Integrating Google Vertex AI with Wrike allows you to perform various tasks, including:
- Automatically assigning tasks based on sentiment analysis of project briefs.
- Generating project status reports using AI-powered text summarization.
- Extracting key insights from project discussions using natural language processing.
- Predicting project completion timelines using machine learning models.
- Classifying and prioritizing tasks based on AI-driven urgency assessments.
How does Latenode handle Google Vertex AI authentication?
Latenode securely manages your Google Vertex AI credentials using industry-standard encryption and secure storage. This ensures safe and reliable access to your AI models.
Are there any limitations to the Google Vertex AI and Wrike integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by Google Vertex AI and Wrike APIs may affect performance.
- Complex data transformations might require custom JavaScript code.
- Initial setup requires a basic understanding of both platforms' APIs.