Connect OpenAI (ChatGPT, Sora, DALL-E, Whisper) and Jira Cloud Platform integrations

Transform OpenAI outputs from ChatGPT, DALL-E, Sora, and Whisper into powerful automation triggers that instantly create, update, and enrich Jira Cloud Platform issues—improving your project management with AI-driven workflows that turn intelligent content into actionable tasks without manual work

Trigger
Select a trigger...
OpenAI (ChatGPT, Whisper, DALL-E)

Triggers when a batch is completed.

OpenAI (ChatGPT, Whisper, DALL-E)

Triggers when a video job is created.

OpenAI (ChatGPT, Whisper, DALL-E)
Jira Cloud Platform
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Action
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Jira Cloud Platform

Adds a new attachment to a ticket.

Jira Cloud Platform

Adds a comment to an issue.

Jira Cloud Platform

Adds a user as a watcher to an issue.

Jira Cloud Platform

Assigns an issue to a user.

Jira Cloud Platform

Creates a component.

Jira Cloud Platform

Creates a new issue.

Jira Cloud Platform

Creates an issue link.

Jira Cloud Platform

Creates a project version.

Jira Cloud Platform

Creates options for a custom select field.

Jira Cloud Platform

Deletes a Component.

Jira Cloud Platform

Deletes an attachment.

Jira Cloud Platform

Deletes an issue.

Jira Cloud Platform

Deletes a commnet on a specific issue.

Jira Cloud Platform

Deletes an issue link.

Jira Cloud Platform

Deletes a project version.

Jira Cloud Platform

Deletes a user as a watcher of an issue.

Jira Cloud Platform

Deletes a custom field option.

Jira Cloud Platform

Downloads an attachment.

Jira Cloud Platform

Returns the details for an issue.

Jira Cloud Platform

Returns an issue comment.

Jira Cloud Platform

Performs an arbitrary authorized API call.

Jira Cloud Platform

Changes the order of custom field options or cascading options in a context.

Jira Cloud Platform

Updates a component.

Jira Cloud Platform

Updates an existing issue.

Jira Cloud Platform

Updates a comment to a specific issue.

Jira Cloud Platform

Updates an issue status.

Jira Cloud Platform

Updates a project version.

Jira Cloud Platform

Updates the options of a custom field.

Jira Cloud Platform

Returns a list of all the options of a select list issue field.

Jira Cloud Platform

Retrieves changelog of an issue.

Jira Cloud Platform

Lists current available transitions in an issue.

Jira Cloud Platform

Returns all comments for an issue.

Jira Cloud Platform

Returns the watchers for an issue.

Jira Cloud Platform

Retrieves project components.

Jira Cloud Platform

Retrieves all versions in a project.

Jira Cloud Platform

Retrieves all users (active and inactive).

Jira Cloud Platform

Searches for issues.

Jira Cloud Platform

Searches for users by query.

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Build your OpenAI (ChatGPT, Sora, DALL-E, Whisper) and Jira Cloud Platform integrations.

Connect Jira Cloud Platform as a trigger to automatically initiate actions in OpenAI (ChatGPT, Sora, DALL-E, Whisper) through Make's automation platform. When OpenAI generates content—whether it's text from ChatGPT, images from DALL-E, videos from Sora, or transcriptions from Whisper—you can trigger automated workflows that create tickets, update issue descriptions with AI-generated content, or enrich your Jira environment with intelligent data. This integration enables you to use OpenAI's outputs as triggers that execute actions in OpenAI (ChatGPT, Sora, DALL-E, Whisper), such as automatically creating new issues when ChatGPT completes an analysis, adding DALL-E visual assets to existing tickets, or populating Jira fields with Whisper transcriptions, improving your project management workflow with AI-driven automation

Jira Cloud Platform
Add a Watcher

Adds a user as a watcher to an issue.

Action
Jira Cloud Platform
Add an Attachment

Adds a new attachment to a ticket.

Action
Jira Cloud Platform
Add an Issue Comment

Adds a comment to an issue.

Action
OpenAI (ChatGPT, Whisper, DALL-E)
Add files to a vector store

Adds files to a specified vector store or, if not specified, creates a new vector store based on the configuration.

Action
OpenAI (ChatGPT, Whisper, DALL-E)
Analyze images (Vision)

Analyzes images according to specified instructions.

Action
Jira Cloud Platform
Assign/Unassign an Issue

Assigns an issue to a user.

Action
OpenAI (ChatGPT, Whisper, DALL-E)
Cancel a batch

Cancels an "in-progress" batch. The batch will be in status "cancelling" for up to 10 minutes, before changing to "cancelled", where it will have partial results (if any) available in the output file.

Action
Jira Cloud Platform
Create Custom Fields Options

Creates options for a custom select field.

Action
Jira Cloud Platform
Create a Component

Creates a component.

Action

Popular OpenAI (ChatGPT, Sora, DALL-E, Whisper) and Jira Cloud Platform workflows.

Looking to get more out of OpenAI (ChatGPT, Sora, DALL-E, Whisper) and Jira Cloud Platform? With Make you can visually integrate OpenAI (ChatGPT, Sora, DALL-E, Whisper) and Jira Cloud Platform into any workflow to save time and resources — no coding required. Try any of these templates in just a few clicks.

How to setup OpenAI (ChatGPT, Sora, DALL-E, Whisper) and Jira Cloud Platform in 5 easy steps

  • 1

    Generate your JIRA API token

    Before connecting JIRA to Make, you'll need to create a special access token. Visit the Atlassian API tokens page, log in, and click 'Create API token'. Give it a name you'll remember and copy the token immediately—you won't be able to see it again. This token works like a secure password that allows Make to communicate with your JIRA account safely.

  • 2

    Add JIRA to your Make workflow

    Open your Make scenario and search for the JIRA Cloud Platform in the apps list. Add a JIRA module to your workflow—this acts as the bridge between Make and your JIRA projects. Once added, you'll see a connection field where you can set up the link between the two platforms.

  • 3

    Create a new connection

    In your JIRA module, click the 'Add' button next to the Connection field. This opens a form where you'll enter your connection details. You can give your connection a custom name to help identify it later, which is especially useful if you're managing multiple JIRA accounts or workflows.

  • 4

    Enter your connection information

    Fill in three key pieces of information: your Service URL (your JIRA website address, like 'yourcompany.atlassian.net'), your Username (the email you use for JIRA), and the API Token you created earlier. Double-check that everything is entered correctly, especially the API token, to avoid connection errors. Click 'Save' when you're done, and Make will test the connection to ensure it's working properly.

  • 5

    Test and start automating

    Once your connection is established, test it by triggering an action in JIRA and checking if Make responds correctly. After confirming everything works, you can begin building automations by adding more modules to your workflow. Your JIRA connection can now power automated tasks like creating issues, adding comments, or connecting with other apps in your Make scenarios.

  • Get started free

    Transform your workflow with AI-powered Jira automation

    Integrate OpenAI with Jira Cloud Platform to automate ticket analysis, generate intelligent responses, improve documentation, and optimize project management with advanced AI capabilities.

    Automated ticket analysis and categorization

    Leverage OpenAI's natural language processing to automatically analyze, categorize, and prioritize Jira tickets based on content, sentiment, and urgency without manual intervention.

    AI-powered issue descriptions and summaries

    Use GPT models to generate comprehensive issue descriptions, technical summaries, and user story refinements directly within Jira tickets, improving documentation quality and team communication.

    Intelligent comment and response generation

    Automatically generate contextual responses and updates for Jira issues using ChatGPT, enabling faster resolution times and consistent communication across development teams.

    Smart sprint planning and task estimation

    Analyze historical Jira data with OpenAI to predict task complexity, suggest optimal sprint planning, and provide data-driven effort estimates for improved project management.

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