AI Agent and Jira Integration

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AI agent that builds your workflows for you

Hundreds of apps to connect

Automatically create Jira tickets from AI Agent insights, ensuring no critical issue is missed. Customize the process with JavaScript and scale affordably as Latenode charges only for execution time.

Swap Apps

AI Agent

Jira

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect AI Agent and Jira

Create a New Scenario to Connect AI Agent and Jira

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 AI Agent, triggered by another scenario, or executed manually (for testing purposes). In most cases, AI Agent or Jira will be your first step. To do this, click "Choose an app," find AI Agent or Jira, and select the appropriate trigger to start the scenario.

Add the AI Agent Node

Select the AI Agent node from the app selection panel on the right.

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AI Agent

Configure the AI Agent

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

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Run node once

Add the Jira Node

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

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Authenticate Jira

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

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Sign In

Run node once

Configure the AI Agent and Jira 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 AI Agent and Jira 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 AI Agent, Jira, 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 AI Agent and Jira integration works as expected. Depending on your setup, data should flow between AI Agent and Jira (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect AI Agent and Jira

Jira + AI Agent + Slack: When a new issue is created in Jira, the AI Agent summarizes the issue details and posts a digest to a dedicated Slack channel.

Jira + AI Agent + Microsoft Teams: When a new issue is created in Jira, the AI Agent drafts a status update and sends it as a message to a specified channel in Microsoft Teams.

AI Agent and Jira integration alternatives

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.

About Jira

Sync Jira issues to other tools or trigger actions based on status changes. Automate bug reporting, task assignment, or notifications without code. Latenode lets you visually integrate Jira into complex workflows. Extend functionality with JavaScript and control costs with execution-based pricing, not per-step fees.

See how Latenode works

FAQ AI Agent and Jira

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

To connect your AI Agent account to Jira on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select AI Agent and click on "Connect".
  • Authenticate your AI Agent and Jira accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically summarize support tickets with AI and create Jira tasks?

Yes, you can! Latenode's visual editor lets you connect AI Agent for summarization to Jira for task creation, streamlining issue management and improving response times with smart automation.

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

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

  • Automatically categorize and prioritize incoming Jira tickets using AI analysis.
  • Generate summaries of complex Jira issues for faster understanding.
  • Automatically assign Jira tickets to relevant teams based on AI-driven topic analysis.
  • Use AI to detect sentiment in issue descriptions and escalate critical problems.
  • Enrich Jira tickets with relevant information extracted from external sources using AI.

HowdoesLatenodehandleAIagentAPIkeysecurityduringtheJiraintegration?

Latenode securely stores your AI Agent API key using encryption and provides role-based access controls to ensure sensitive credentials remain protected within your workflows.

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

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

  • The number of AI Agent requests is limited by your AI Agent subscription plan.
  • Complex AI models may require significant processing time, impacting workflow speed.
  • Custom fields in Jira may require additional configuration within Latenode.

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