Connect OpenAI (ChatGPT, Sora, 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
Triggers when a batch is completed.
Triggers when a video job is created.
Adds a new attachment to a ticket.
Adds a comment to an issue.
Adds a user as a watcher to an issue.
Assigns an issue to a user.
Creates a component.
Creates a new issue.
Creates an issue link.
Creates a project version.
Creates options for a custom select field.
Deletes a Component.
Deletes an attachment.
Deletes an issue.
Deletes a commnet on a specific issue.
Deletes an issue link.
Deletes a project version.
Deletes a user as a watcher of an issue.
Deletes a custom field option.
Downloads an attachment.
Returns the details for an issue.
Returns an issue comment.
Performs an arbitrary authorized API call.
Changes the order of custom field options or cascading options in a context.
Updates a component.
Updates an existing issue.
Updates a comment to a specific issue.
Updates an issue status.
Updates a project version.
Updates the options of a custom field.
Returns a list of all the options of a select list issue field.
Retrieves changelog of an issue.
Lists current available transitions in an issue.
Returns all comments for an issue.
Returns the watchers for an issue.
Retrieves project components.
Retrieves all versions in a project.
Retrieves all users (active and inactive).
Searches for issues.
Searches for users by query.
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Build your OpenAI (ChatGPT, Sora, Whisper) and Jira Cloud Platform integrations.
Connect Jira Cloud Platform as a trigger to automatically initiate actions in OpenAI (ChatGPT, Sora, 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, 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
Adds a user as a watcher to an issue.
Adds a new attachment to a ticket.
Adds a comment to an issue.
Adds files to a specified vector store or, if not specified, creates a new vector store based on the configuration.
Analyzes images according to specified instructions.
Assigns an issue to a user.
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.
Creates options for a custom select field.
Creates a component.
Popular OpenAI (ChatGPT, Sora, Whisper) and Jira Cloud Platform workflows.
Looking to get more out of OpenAI (ChatGPT, Sora, Whisper) and Jira Cloud Platform? With Make you can visually integrate OpenAI (ChatGPT, Sora, 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, Whisper) and Jira Cloud Platform in 5 easy steps
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.
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.
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.
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.
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.
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.
Leverage OpenAI's natural language processing to automatically analyze, categorize, and prioritize Jira tickets based on content, sentiment, and urgency without manual intervention.
Use GPT models to generate comprehensive issue descriptions, technical summaries, and user story refinements directly within Jira tickets, improving documentation quality and team communication.
Automatically generate contextual responses and updates for Jira issues using ChatGPT, enabling faster resolution times and consistent communication across development teams.
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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FAQ
By integrating OpenAI with Jira Cloud Platform through Make, you can automate intelligent project management tasks such as automatically generating issue summaries, categorizing tickets using AI analysis, creating detailed bug reports from user feedback, and generating project documentation. For example, you can set up workflows where ChatGPT automatically analyzes incoming support requests and creates properly formatted Jira tickets with appropriate labels, priorities, and assignments, saving your team hours of manual data entry and ensuring consistent ticket quality.
Make's visual workflow builder allows you to create powerful automations without coding. You can build scenarios like: automatically summarizing completed sprint tasks into stakeholder reports using GPT-4, analyzing Jira comments to detect sentiment and escalate negative feedback, generating acceptance criteria for user stories, translating Jira issues into multiple languages for global teams, or using DALL-E to create visual mockups from feature descriptions in tickets. Make provides pre-built modules for both OpenAI and Jira, allowing you to drag-and-drop these integrations into functioning workflows within minutes.
Make provides transparent control over your automation execution, allowing you to set scheduling limits, conditional triggers, and error handling to manage API costs effectively. You can configure your scenarios to run only when specific conditions are met in Jira (like new high-priority tickets or sprint completions), preventing unnecessary OpenAI API calls. Make also includes built-in error handling and retry logic to manage rate limits from both platforms gracefully. Additionally, you can monitor your automation usage through Make's dashboard, giving you full visibility into your API consumption and costs before they become an issue.
Yes! Make offers a free tier that allows you to explore and test integrations between OpenAI and Jira Cloud Platform without any upfront commitment. The free plan includes 1,000 operations per month, which is sufficient to build and test several automation scenarios. You can experiment with creating AI-powered Jira workflows, see real results with your actual data, and understand the value these integrations bring to your team before deciding to upgrade. This hands-on experience helps you identify the most valuable automations for your specific use case and ensures Make is the right fit for your needs.
A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.
Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.
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