For so many of us, Jira is the command center for our work. It’s where projects take shape, tasks get tracked, and tickets get resolved efficiently. It’s a mature, reliable platform that powers thousands of companies worldwide. As workflows evolve, Jira has introduced powerful new ways to keep everything on track.
This is where the idea of Jira and generative AI gets interesting. It’s designed to automate routine tasks, speed up communication, and help your team work even smarter.
In this guide, we'll give you a straight-up look at what Atlassian's own AI offers inside Jira. We’ll cover its main features, explain how the tiered pricing works, and talk about a few considerations you should know to get the most out of it.
What is Jira and generative AI?
First, let's get on the same page. Jira is Atlassian's go-to tool for managing work. If you're in software, IT, or even marketing, chances are you've relied on a Jira board to keep things organized. It is an impressive ecosystem where work gets done at scale.
Generative AI is a type of AI that can create new content, summarize long walls of text, and even set up workflows from simple instructions. Think of it as a smart assistant built right into your dashboard that helps you work faster.
So, when we talk about "Jira and generative AI," we’re talking about the AI features Atlassian has built right into its platform (often called Atlassian Intelligence or Rovo). The goal is to help you get more done without having to leave Jira, freeing up your team to focus on high-impact work.
Key capabilities of Jira and generative AI
Atlassian has thoughtfully integrated its AI throughout Jira to help with common tasks. These features are meant to make everything from ticket management to writing updates just a little bit smoother.
Streamlining ticket and task management
Managing a project involves staying on top of many moving parts. Jira's AI provides strong support to help lift some of that weight.
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AI summaries: When you open a Jira ticket with a long history of comments, the AI can scan the conversation and provide a quick summary of the key points. It’s a great way for anyone to get up to speed quickly on the latest developments.
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Breaking down work: For large project epics, the AI can suggest smaller, manageable child issues or sub-tasks. It helps turn a big objective into a clear, actionable plan, which is a big help for sprint planning.
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Ticket triage: For teams on Jira Service Management, the AI can help sort, prioritize, and route new requests. It looks at the ticket's content and tone to help ensure urgent items are handled by the right person promptly.
Enhancing content and communication
Communication is key to any project's success. Jira's AI provides tools to help you write updates clearly and professionally.
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Generative AI in the editor: Right in the ticket editor, you can ask the AI to draft content for you. It's helpful for writing user stories, task descriptions, or replies based on a few initial bullet points.
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Adjusting the tone: The AI can rework your text to suit different audiences. It can make a technical explanation more approachable for a customer or refine rough notes into a professional summary for stakeholders.
Improving search and automation
Finding information in Jira is efficient, and the AI makes it even easier for users of all experience levels.
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Natural language to JQL: Jira Query Language (JQL) is incredibly powerful for searching. This AI feature lets you type a search in plain English, like "show me all open high-priority bugs," and it translates it into the proper JQL for you. It’s a great way to run complex searches effortlessly.
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AI-powered automation rules: Instead of building rules manually, you can describe what you want in plain language. For example, you could write, "When a ticket priority changes to Highest, send a notification to the on-call Slack channel." The AI then sets up the automation for you.
How to get started with Jira and generative AI (and how pricing works)
To access these AI features, you’ll need a Standard, Premium, or Enterprise cloud plan. Atlassian has designed these tiers to provide varying levels of AI support based on your team's size and needs.
Atlassian uses a credit system for its AI features. This allows teams to have a structured way of using AI while being part of their existing plan.
Here's how the plans and their monthly credit allocations look:
| Plan | Price (per user/month) | Atlassian Rovo AI Credits |
|---|---|---|
| Standard | $7.53 | 25 AI credits per user per month |
| Premium | $13.53 | 70 AI credits per user per month |
| Enterprise | Contact Sales | 150 AI credits per user per month |
These tiered plans allow you to choose the level of AI integration that matches your typical usage. For teams that have high ticket volumes, moving to a higher tier provides a generous increase in credits to ensure the AI is always available when needed.
Considerations for using Jira and generative AI (built-in features)
Having AI baked right into Jira is a major advantage for many teams. To ensure you’re getting the most out of these tools, it's helpful to understand how they are optimized to work.
Optimization for the Atlassian ecosystem
Jira's AI is exceptionally good at working within the Atlassian ecosystem, particularly with Confluence. It is designed to pull answers and context from your internal documentation and tickets.
If your team uses additional tools like Google Docs, Notion, or Slack for certain types of knowledge, you can use specialized tools to bridge that gap. A complementary tool like eesel AI can connect to these external apps, working alongside Jira to give your AI a broader view of your company's information.
Streamlined customization for ease of use
Atlassian's AI is built to be simple and easy to turn on, which is perfect for teams that want immediate results without a complex setup.
For teams that eventually want more granular control over specific AI behaviors or tones, a dedicated platform like eesel AI can be added as a specialized layer. This allows you to dial in specific personalities or custom automations while keeping Jira as your reliable core platform.
Rapid deployment and testing
Jira is designed for speed and rapid implementation. When you're ready to roll out AI, you can do so quickly across your organization.
If you have highly specific accuracy requirements and want to perform a simulated test run before going live, you can use specialized tools to complement your Jira setup. eesel AI offers a simulation mode that can be used alongside Jira, allowing you to see how AI will perform on past tickets as you fine-tune your knowledge base.
Is the built-in Jira and generative AI right for your team?
For teams that want a mature, trusted platform with powerful automation ready to go, Jira's built-in generative AI is an excellent choice. It is a reliable way to bring the power of AI into your existing workflows.
For teams that eventually need to scale their AI usage or integrate knowledge from many different platforms, Jira remains the perfect foundation that can be enhanced with specialized add-ons.
Supercharge your Jira and generative AI workflows with eesel AI
You can further enhance your Jira experience by bringing in specialized tools that work within the Jira ecosystem. eesel AI is a great example of a complementary option that plugs right into Jira to add more specialized power.
Here’s how eesel AI works alongside Jira:
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Expand your knowledge base: Connect Jira Service Management with other apps like Google Docs, Notion, and Slack to provide an even wider knowledge source for your AI.
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Self-serve setup: You can get started quickly on your own, making it a great option for teams that want to experiment with additional AI features immediately.
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Test with simulation: Use a simulation mode to see how AI performs on thousands of past tickets, helping you feel even more confident as you expand your AI capabilities.
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Predictable scaling: Use specialized tools to manage specific high-volume workflows with simple pricing that works in tandem with your Jira plan.
Ready to see how to make your Jira and generative AI workflows even stronger? Start your free eesel AI trial today and see how it complements your Jira setup in just a few minutes.
Frequently asked questions
What exactly do we mean when we talk about Jira and generative AI in the context of project management?
When discussing Jira and generative AI, we refer to the AI features Atlassian has integrated into its platform, often called Atlassian Intelligence or Rovo. These features aim to automate tasks, summarize information, and assist with content creation directly within Jira.
How can Jira and generative AI help streamline everyday tasks and improve communication within our team?
Jira and generative AI can summarize lengthy ticket comments, suggest breaking down large tasks, and help triage support requests automatically. It also assists in drafting content for user stories or replies and converting natural language into JQL for easier searching.
What are the primary costs associated with using Jira and generative AI through Atlassian's built-in features?
Atlassian's built-in Jira and generative AI operates on a credit system, where credits are bundled with Standard, Premium, and Enterprise cloud plans. These tiered plans are designed to provide teams with predictable access to AI features based on their size and needs.
What are some significant considerations we should keep in mind when using Atlassian's built-in Jira and generative AI?
Key considerations include its optimization for the Atlassian ecosystem (primarily Confluence) and its out-of-the-box settings designed for rapid deployment. For teams needing extensive customization or cross-platform knowledge integration, specialized tools can provide additional flexibility.
Can we customize how Jira and generative AI behaves or integrates with other tools beyond the Atlassian ecosystem?
Atlassian's built-in Jira and generative AI is designed for simplicity and ease of use. For deeper customization of personality or complex actions across a broader range of applications, an external platform like eesel AI can work alongside Jira to provide an even more flexible workflow editor.
Is there a way to test Jira and generative AI's performance before rolling it out to our entire team?
Atlassian's platform is built for rapid implementation. For teams that prefer a simulated testing phase, dedicated tools like eesel AI can be used in conjunction with Jira to provide a simulation mode that helps test AI accuracy on real-world data before deployment.
How does an external solution, like eesel AI, enhance the use of Jira and generative AI compared to Atlassian's native offering?
An external solution like eesel AI enhances Jira and generative AI by connecting to additional knowledge sources outside of the Atlassian ecosystem, offering further customization, and providing specialized simulation tools for teams with complex requirements.
