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

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Authenticate Kintone
Now, click the Kintone node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Kintone settings. Authentication allows you to use Kintone through Latenode.
Configure the Google Vertex AI and Kintone 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 Kintone 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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Kintone
Trigger on Webhook
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Webhook response
Save and Activate the Scenario
After configuring Google Vertex AI, Kintone, 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 Kintone integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Kintone (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 Kintone
Kintone + Google Vertex AI + Slack: When a new record is created in Kintone, the data is sent to Vertex AI to analyze the customer feedback. Based on the analysis, a message is sent to a specific Slack channel to alert the support team if needed.
Kintone + Google Vertex AI + Google Sheets: When a record is updated in Kintone, the data is sent to Vertex AI to generate insights. The AI insights are then saved into Google Sheets for reporting purposes.
Google Vertex AI and Kintone 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 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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FAQ Google Vertex AI and Kintone
How can I connect my Google Vertex AI account to Kintone using Latenode?
To connect your Google Vertex AI account to Kintone 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 Kintone accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically generate Kintone records from AI-analyzed documents?
Yes, you can! Latenode lets you use Google Vertex AI to extract data from documents and create corresponding records in Kintone, saving time and improving data accuracy with automated workflows.
What types of tasks can I perform by integrating Google Vertex AI with Kintone?
Integrating Google Vertex AI with Kintone allows you to perform various tasks, including:
- Analyzing customer feedback from Kintone using Vertex AI sentiment analysis.
- Generating summaries of Kintone records using Vertex AI's text generation capabilities.
- Automatically translating Kintone data into multiple languages using Vertex AI Translate.
- Classifying and categorizing Kintone records based on content using Vertex AI's models.
- Using AI to predict trends and forecast future outcomes based on Kintone data.
Can I use custom JavaScript code to transform data between Google Vertex AI and Kintone?
Yes, Latenode allows you to use JavaScript code to manipulate data between Google Vertex AI and Kintone, enabling tailored transformations and complex logic.
Are there any limitations to the Google Vertex AI and Kintone integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers may be subject to Google Vertex AI and Kintone API rate limits.
- Complex AI models may require significant processing time, impacting workflow speed.
- Custom JavaScript code requires development effort for specific data transformations.