How to connect Kintone and Google Vertex AI
Create a New Scenario to Connect Kintone and Google Vertex AI
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 Kintone, triggered by another scenario, or executed manually (for testing purposes). In most cases, Kintone or Google Vertex AI will be your first step. To do this, click "Choose an app," find Kintone or Google Vertex AI, and select the appropriate trigger to start the scenario.

Add the Kintone Node
Select the Kintone node from the app selection panel on the right.

Kintone
Add the Google Vertex AI Node
Next, click the plus (+) icon on the Kintone node, select Google Vertex AI from the list of available apps, and choose the action you need from the list of nodes within Google Vertex AI.

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Google Vertex AI
Authenticate Google Vertex AI
Now, click the Google Vertex AI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Vertex AI settings. Authentication allows you to use Google Vertex AI through Latenode.
Configure the Kintone and Google Vertex AI 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 Kintone and Google Vertex AI 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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Google Vertex AI
Trigger on Webhook
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Kintone
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Webhook response
Save and Activate the Scenario
After configuring Kintone, Google Vertex AI, 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 Kintone and Google Vertex AI integration works as expected. Depending on your setup, data should flow between Kintone and Google Vertex AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Kintone and Google Vertex AI
Kintone + Google Vertex AI + Slack: When a new record is added to Kintone, the data is sent to Google Vertex AI to analyze the sentiment of the customer feedback. The sentiment analysis results are then shared in a Slack channel.
Kintone + Google Vertex AI + Google Sheets: When a record is created in Kintone, its details are sent to Google Vertex AI for categorization. The categorization results are then used to update a summary report in Google Sheets.
Kintone and Google Vertex AI integration alternatives
About Kintone
Integrate Kintone into Latenode to automate custom application workflows. Sync data, trigger actions, and manage processes without code. Extend Kintone's capabilities with Latenode's visual builder, JavaScript functions, and AI tools to automate data validation, reporting, and notifications. Scale efficiently and only pay for what you use.
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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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See how Latenode works
FAQ Kintone and Google Vertex AI
How can I connect my Kintone account to Google Vertex AI using Latenode?
To connect your Kintone account to Google Vertex AI on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Kintone and click on "Connect".
- Authenticate your Kintone and Google Vertex AI accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically classify support tickets using AI?
Yes, you can! Latenode lets you use Google Vertex AI to classify Kintone tickets, routing them automatically, and reducing manual work for support teams.
What types of tasks can I perform by integrating Kintone with Google Vertex AI?
Integrating Kintone with Google Vertex AI allows you to perform various tasks, including:
- Analyze customer feedback from Kintone using AI sentiment analysis.
- Automatically generate summaries of Kintone records with Vertex AI.
- Use AI to identify trends in Kintone data for better decision-making.
- Translate Kintone data into multiple languages using Vertex AI.
- Enhance Kintone apps with AI-powered content recommendations.
What Kintone data can I access in Latenode workflows?
Latenode allows access to any data stored in your Kintone apps, enabling powerful automation across different systems.
Are there any limitations to the Kintone and Google Vertex AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations may require custom JavaScript code.
- Google Vertex AI costs are separate and depend on usage volume.
- Real-time data synchronization depends on Kintone API rate limits.