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

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

Google AI
Configure the Google AI
Click on the Google AI node to configure it. You can modify the Google AI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Jira Node
Next, click the plus (+) icon on the Google AI 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.
Configure the Google AI 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.
Set Up the Google AI 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 Google AI, 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 Google AI and Jira integration works as expected. Depending on your setup, data should flow between Google AI 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 Google AI and Jira
Google AI + Jira + Slack: When new customer feedback is available, use Google AI to analyze the sentiment. If the sentiment indicates a bug, create a Jira ticket and notify the development team in Slack.
Jira + Google AI + Google Sheets: When a Jira issue is updated, summarize the issue details with Google AI and log the summary in Google Sheets for reporting purposes.
Google AI and Jira integration alternatives
About Google AI
Use Google AI in Latenode to add smarts to your workflows. Process text, translate languages, or analyze images automatically. Unlike direct API calls, Latenode lets you combine AI with other apps, add logic, and scale without code. Automate content moderation, sentiment analysis, and more.
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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.
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See how Latenode works
FAQ Google AI and Jira
How can I connect my Google AI account to Jira using Latenode?
To connect your Google AI account to Jira on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google AI and click on "Connect".
- Authenticate your Google AI and Jira accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically analyze support tickets with Google AI and update Jira?
Yes, you can! Latenode lets you use Google AI to analyze ticket content and automatically update Jira fields based on sentiment or keywords. Automate and save time!
What types of tasks can I perform by integrating Google AI with Jira?
Integrating Google AI with Jira allows you to perform various tasks, including:
- Automatically categorize incoming Jira tickets using AI-powered text analysis.
- Summarize lengthy customer feedback from Jira tickets using Google AI.
- Assign priority levels to Jira issues based on sentiment analysis of the description.
- Generate release notes based on resolved Jira issues using AI-driven content creation.
- Translate Jira tickets into different languages for global support teams.
What Google AI models are supported within Latenode’s Google AI integration?
Latenode's integration supports Gemini Pro, Vertex AI, and other Google AI models, offering flexibility in your automated workflows.
Are there any limitations to the Google AI and Jira integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by Google AI and Jira APIs may affect workflow speed.
- Complex AI models may consume more resources, impacting Latenode's execution time.
- The integration relies on stable API connections from both Google AI and Jira.