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Jira Cloud Platform
OpenAI (ChatGPT, Whisper)

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

Explore ready-made Jira Cloud Platform and OpenAI (ChatGPT, Whisper) templates and start automating in minutes.

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Create a custom workflow

Automate your Jira Cloud Platform workflows with OpenAI's powerful AI suite—instantly generate smart ticket descriptions with ChatGPT, create visual documentation with DALL-E, and transcribe meetings with Whisper, all triggered through Make. Transform issue tracking into intelligent automation that categorizes tickets, summarizes projects, and delivers AI-powered insights without manual intervention.

Create a custom workflow

Every automation starts with a trigger and an action. Select one from each app to generate a workflow tailored to your needs.

Jira Cloud Platform
Trigger: Watch Issues
OpenAI (ChatGPT, Whisper)
Action: Select an action
1. Select a trigger

  • Triggers when an issue is created or updated.

  • Triggers when a ticket event occurs.

2. Select an action

  • Analyzes images according to specified instructions.

  • 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 and executes a batch of API calls.

  • Creates a new skill.

  • Creates a new immutable skill version.

  • Creates a new vector store and optionally adds files to it, or adds files to an existing vector store.

  • Deletes an existing conversation.

  • Deletes an existing model response.

  • Deletes a skill. This action cannot be undone.

  • Deletes a skill version. This action cannot be undone.

  • Deletes a vector store. This action cannot be undone.

  • Downloads a file from a container.

  • Downloads a skill as a ZIP file using its ID.

  • Downloads a skill version as a ZIP file.

  • Creates an edited or extended image given one or more source images and a prompt.

  • Generates a chat completion.

  • Qualifies whether the provided image or text(s) contains violent, hateful, illicit or adult content.

  • Generates a response.

  • Transcribes an audio to text.

  • Translates an audio to English.

  • Creates an embedding vector representing the input text.

  • Generates images using GPT Image.

  • Generates an audio file based on text input and settings.

  • Retrieves details of the specified batch.

  • Retrieves an existing model response.

  • Returns information about a specific skill by its ID.

  • Returns information about a specific skill version.

  • Performs an arbitrary authorized API call.

  • Generates text responses from prompts without requiring an account or connection.

  • Identifies information in a prompt's text and returns it as structured data.

  • Updates the default version pointer for a skill.

  • Uploads a file to be used across the OpenAI platform.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

Connect OpenAI (ChatGPT, Sora, DALL-E, Whisper) as a trigger and Jira Cloud Platform as an action through Make's automation platform. When events occur in OpenAI (ChatGPT, Sora, DALL-E, Whisper)—such as issue updates, new ticket creation, or status changes—Make automatically triggers OpenAI actions to generate intelligent ticket descriptions, create project summaries, analyze retrospectives, produce visual assets with DALL-E for documentation, or transcribe meeting recordings with Whisper that are logged as Jira comments. This integration enables automated AI-generated responses to issue updates, smart ticket categorization using ChatGPT's natural language processing, and AI-powered insights based on your Jira project data.

Add a Watcher
Adds a user as a watcher to an issue.
Action
Add an Attachment
Adds a new attachment to a ticket.
Action
Add an Issue Comment
Adds a comment to an issue.
Action
Analyze images (Vision)
Analyzes images according to specified instructions.
Action
Assign/Unassign an Issue
Assigns an issue to a user.
Action
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
Create a batch
Creates and executes a batch of API calls.
Action
Create a Component
Creates a component.
Action
Create a Project Version
Creates a project version.
Action
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How to set up Jira Cloud Platform and OpenAI (ChatGPT, Whisper) in 5 easy steps

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Step 1

Get your JIRA API token

Before connecting JIRA to Make, you'll need an API token from JIRA. Visit the Atlassian API token page, log in, and create a new token with a name you'll remember. Copy this token immediately and store it safely, as you won't be able to view it again later.

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Step 2

Add JIRA to your Make scenario

Log into Make and open your scenario where you want to use JIRA. Search for the JIRA Cloud Platform module in the available apps and add it to your workflow. This module will serve as the connection point between Make and your JIRA account.

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Step 3

Create a new connection

In your JIRA module, find the Connection field and click the Add button. A form will appear asking for your connection details. You can give your connection a custom name to help identify it if you plan to create multiple connections in the future.

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Step 4

Enter your JIRA credentials

Fill in the connection form with three pieces of information: your JIRA Service URL (your company's JIRA web address), your JIRA username, and the API token you saved earlier. Review all details carefully to ensure they're correct, then click Save to establish the connection.

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Step 5

Test and start using your connection

After saving, Make will verify the connection to your JIRA account. If successful, you'll see a confirmation message, and you're ready to start automating. You can now configure your JIRA modules to create issues, update tickets, add comments, or perform other actions automatically using this connection.

Transform your workflow with AI-powered Jira automation

Improve your project management by connecting Jira Cloud Platform with OpenAI (ChatGPT, Sora, DALL-E, Whisper) to automate ticket handling, generate insights, and optimize team collaboration.

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Intelligent ticket categorization and routing

Automatically analyze and categorize incoming Jira issues using AI to assign appropriate labels, priorities, and team members based on ticket content.

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Automated issue summaries and documentation

Generate concise summaries of complex Jira tickets and create comprehensive documentation from issue threads using GPT models to save time and improve clarity.

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Smart response suggestions for customer issues

Use AI to draft contextual responses and solutions for Jira service desk tickets, reducing response times and maintaining consistent quality.

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Intelligent sprint planning assistance

Analyze historical Jira data and project requirements with AI to recommend optimal task breakdowns, effort estimates, and sprint compositions.

Support

FAQs

Everything you need to know about Make. Can't find the answer you're looking for? Please chat to our team.

By connecting Jira with OpenAI through Make, you can automate intelligent task management processes. For example, you can use GPT-4 to automatically generate detailed ticket descriptions from brief inputs, analyze bug reports to suggest solutions, summarize lengthy comments into actionable items, or automatically categorize and prioritize issues based on their content. This integration eliminates manual data entry, improves ticket quality, and helps your team focus on solving problems rather than administrative tasks.

Make enables powerful automation scenarios between Jira and OpenAI, such as: automatically generating release notes from completed tickets using GPT-4, creating sprint summaries and progress reports, translating Jira tickets into multiple languages for global teams, analyzing ticket sentiment to identify team morale issues, generating test cases from user stories, or using AI to suggest relevant documentation links based on ticket content. These automations run in the background without requiring any coding knowledge, saving hours of manual work each week.

No programming skills are required. Make provides a visual, drag-and-drop interface that allows you to connect Jira Cloud Platform and OpenAI with point-and-click actions. You can select triggers (like 'New Issue Created in Jira'), add OpenAI actions (like 'Create a Completion' with GPT-4), and map data between the applications using intuitive fields. Make offers pre-built templates for common integration scenarios, and you can customize them to fit your specific needs. The platform handles all the technical API connections behind the scenes, making automation accessible to everyone.

Using Make to integrate Jira with OpenAI is significantly more cost-effective than building custom integrations. Custom development typically requires hiring developers, ongoing maintenance, and infrastructure costs that can exceed thousands of dollars. With Make, you get instant access to pre-built connectors for both platforms, automatic updates when APIs change, built-in error handling, and execution history for troubleshooting. You can start with Make's free tier to test integrations, then scale affordably as your automation needs grow. Most users set up their first working automation in minutes rather than weeks, providing immediate ROI without the technical overhead.