Kintone and AI Agent Integration

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Hundreds of apps to connect

Enrich Kintone records with AI insights using AI Agent for automated data analysis and summarization. Latenode's visual editor and flexible API integrations make this scalable and easy to customize with JavaScript for advanced logic.

Swap Apps

Kintone

AI Agent

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Kintone and AI Agent

Create a New Scenario to Connect Kintone and AI Agent

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 AI Agent will be your first step. To do this, click "Choose an app," find Kintone or AI Agent, 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.

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Kintone

Configure the Kintone

Click on the Kintone node to configure it. You can modify the Kintone URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Kintone

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Connect Kintone

Sign In

Run node once

Add the AI Agent Node

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

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AI Agent

Authenticate AI Agent

Now, click the AI Agent node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your AI Agent settings. Authentication allows you to use AI Agent through Latenode.

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Sign In

Run node once

Configure the Kintone and AI Agent Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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The action ID

Run node once

Set Up the Kintone and AI Agent 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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Save and Activate the Scenario

After configuring Kintone, AI Agent, 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 AI Agent integration works as expected. Depending on your setup, data should flow between Kintone and AI Agent (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 AI Agent

Kintone + AI Agent + Slack: When a new record is created in Kintone, an AI Agent summarizes the record's content. The summary is then posted to a dedicated Slack channel.

Kintone + AI Agent + Google Sheets: When a new record is created in Kintone, the AI Agent analyzes the sentiment of specific feedback fields within the record. The sentiment analysis results are then added as a new row in a Google Sheet for tracking and analysis.

Kintone and AI Agent 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.

About AI Agent

Use AI Agent in Latenode to automate content creation, data analysis, or customer support. Configure agents with prompts, then integrate them into workflows. Unlike standalone solutions, Latenode lets you connect AI to any app, scale automatically, and customize with code where needed.

See how Latenode works

FAQ Kintone and AI Agent

How can I connect my Kintone account to AI Agent using Latenode?

To connect your Kintone account to AI Agent 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 AI Agent accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically classify Kintone records using AI Agent?

Yes, you can! Latenode allows you to trigger AI Agent from Kintone record changes. This automates categorization, saving time and improving data accuracy.

What types of tasks can I perform by integrating Kintone with AI Agent?

Integrating Kintone with AI Agent allows you to perform various tasks, including:

  • Automatically summarize Kintone records using AI-powered text analysis.
  • Generate personalized email responses based on data within Kintone.
  • Analyze customer feedback collected in Kintone to identify key trends.
  • Use AI Agent to flag potentially fraudulent entries in Kintone databases.
  • Extract key information from uploaded documents and update Kintone records.

Can I use JavaScript within Latenode to transform Kintone data?

Yes! Latenode’s JavaScript blocks let you transform Kintone data before it reaches AI Agent, adding flexibility for custom data manipulation.

Are there any limitations to the Kintone and AI Agent integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Large data transfers between Kintone and AI Agent might experience delays.
  • Custom AI Agent models require proper setup and training for optimal results.
  • Complex Kintone data structures may need preprocessing for AI Agent compatibility.

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