So, you’ve seen the new AI features popping up in Jira. Billed as "Atlassian Intelligence," they promise to do everything from drafting user stories in a flash to helping you sort out customer support tickets faster. It all sounds great, and as you start thinking about rolling this out for your team, the big question is: what's this actually going to cost?
Understanding the price of Jira AI is about looking at the different components of your setup. The cost is a mix of your base Jira plan, how many people are on your team, and a versatile credit system called Rovo. This guide is designed to be your practical Jira AI pricing calculator. We'll walk through every piece of the puzzle so you can figure out your budget and manage your subscription effectively.
What is Jira AI? Atlassian Intelligence and Rovo explained
First, let's get the names straight. "Jira AI" is a nickname for a bundle of smart features powered by a sophisticated technology called Atlassian Intelligence. This AI layer is delivered through a platform named Rovo, which is built to connect all your company's knowledge, from Confluence pages to documents in other apps, to fuel its AI smarts.
So, when we talk about "Jira AI," we're really talking about the helpful AI features you see inside Jira and other Atlassian tools. According to Atlassian, these are meant to speed up teamwork and include things like:
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Generating and tweaking text: This lets you instantly draft user stories, get a quick summary of a long comment thread, or change the tone of a customer reply from formal to casual with a click.
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Searching with plain English: You can ask a question like, "show me all high-priority bugs in the mobile project from last quarter," and it will translate that into a perfect, complex JQL query for you. No more wrestling with syntax.
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Getting direct answers: Instead of just giving you a list of links from your Confluence pages, the AI can find and deliver the specific answer you need.
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AI-powered virtual agents: You can set up an AI assistant in Jira Service Management to handle common support questions on its own.
These features are available if you're on one of Atlassian's paid Cloud plans (Standard, Premium, or Enterprise). But getting access is just step one of the pricing puzzle.
How Jira AI pricing works: The three key factors
To really get a handle on your potential costs, you need to look at three things: your software subscription, the usage limits, and your user count. Let's break them down one by one.
Factor 1: Your Jira Cloud plan
Your starting point is your basic Jira Software Cloud subscription. The Atlassian Intelligence features are bundled into the paid plans, so your base cost is simply the per-user price of the plan you're on. If you're using the Free plan, you can upgrade to a paid tier to access these AI tools.
Here’s a quick rundown of the base costs for each plan:
| Plan | Price per user/month (monthly billing) | Ideal for |
|---|---|---|
| Free | $0 | Teams up to 10 users (Upgrade for Atlassian Intelligence) |
| Standard | $7.91 | Growing teams needing more power and support. |
| Premium | $14.54 | Teams that need to scale and plan across projects. |
| Enterprise | Contact Sales (Billed Annually) | Organizations with enterprise-grade needs. |
Source: Jira Pricing Page
This per-user fee is the foundation of your bill. But the AI usage itself is measured by a specialized system designed to scale with your team.
Factor 2: Rovo usage quotas (credits & indexed objects)
This is where the Jira AI pricing calculator part gets interesting. Atlassian tracks your AI usage with two different metrics: Rovo Credits and Indexed Objects.
Rovo Credits are tokens spent on more demanding AI tasks. For instance, asking a question in Rovo Chat or using the "Deep Research" agent will cost you credits (currently 10 and 100 credits, respectively). Simpler things, like generating a summary of a ticket, don't use up credits right now.
Indexed Objects are the individual files, pages, or documents from third-party sources that you connect to Rovo. This could be a document in SharePoint, a page in Notion, or a file in Google Docs. If you want Rovo's AI to find answers in knowledge that lives outside of Confluence, it will use your indexed object allowance.
The plan you're on dictates how many credits and objects you get for each user.
| Plan | Rovo Credits (per user/month) | Indexed Objects (per user) |
|---|---|---|
| Standard | 25 | 100 |
| Premium | 70 | 250 |
| Enterprise | 150 | 625 |
Source: Rovo Usage Quota Documentation
Factor 3: Your total number of users
The final piece of the equation is your total user count. The good news is that you don't have to track this stuff per person. The Rovo quotas are pooled at the organization level, meaning the allowances for all your users get added together into one big bucket for the whole company to share.
Here are the simple formulas to figure out your monthly pool:
"Total Monthly Rovo Credits = (Credits per user for your plan) x (Total number of licensed users)"
"Total Indexed Objects = (Objects per user for your plan) x (Total number of licensed users)"
Putting it all together: A pricing example
Let's walk through a scenario to see how this all plays out in the real world.
Imagine a company called ConnectTech. They have 150 employees, and they're all on the Jira Premium plan.
Step 1: Calculate the base software cost This part is simple. Just multiply the number of users by the monthly plan price. "150 users * $14.54/user/month = $2,181 per month"
Step 2: Calculate the pooled Rovo credit allowance Next, we'll figure out their monthly credit pool using the Premium plan's allowance. "150 users * 70 credits/user = 10,500 Rovo credits per month"
Step 3: Calculate the pooled indexed object allowance Finally, let's calculate their limit for connecting external knowledge sources. "150 users * 250 objects/user = 37,500 indexed objects"
So, ConnectTech's estimated monthly bill is $2,181, which covers their usage within the 10,500 Rovo credits and 37,500 indexed objects. Atlassian provides clear documentation and notices to help teams stay within their limits as they grow.
Key Jira AI features and how they scale
Now that you know how the pricing works, let's talk about the capabilities you're getting and how to optimize your setup.
Automated support with Jira Service Management's virtual agent
One of the big selling points is the virtual agent for Jira Service Management. It’s an AI chatbot that can hang out in Slack or Microsoft Teams, answering common questions by pulling information from your knowledge base.
A tip for success: The virtual agent is most effective when your knowledge base inside the Atlassian ecosystem, such as Confluence, is well-organized. When your documentation is centralized, the virtual agent can provide quick, accurate responses to deflect tickets and help your team scale.
The eesel AI alternative: For teams with knowledge spread across many different areas, tools like eesel AI are a great complementary option. eesel AI connects to your existing knowledge sources, including historical tickets from help desks like Zendesk, to provide context-aware answers right away, helping you leverage your existing data alongside Jira.
The importance of centralizing knowledge
Most teams' knowledge is spread across various platforms. Atlassian addresses this by allowing Rovo to connect to external sources like SharePoint and Google Drive.
Every document you connect from outside of Atlassian uses your Indexed Objects quota. This creates an opportunity for teams to evaluate their knowledge management strategy. You can choose to centralize your most important docs in Confluence to maximize your Rovo plan or use the flexible quota system to keep documents where they are.
A more straightforward alternative: eesel AI for Jira Service Management
For teams looking for a specialized tool that works seamlessly within the Jira ecosystem, eesel AI offers a complementary solution. eesel AI is designed to help teams with scattered knowledge work even more effectively.
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Get up and running in minutes: You can set up eesel AI quickly and easily. Connect your helpdesk and knowledge sources with a few clicks to start seeing results.
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Bring all your knowledge together, instantly: eesel AI seamlessly connects to Jira Service Management and pulls in knowledge from wherever it already is: Confluence, Google Docs, and Notion. This gives the AI a broad picture to help your team answer questions correctly.
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Clear, predictable pricing: eesel AI has straightforward pricing tiers based on your needs. This simple approach can help with budget planning for teams that have very specific documentation needs outside the core Atlassian ecosystem.
Your next steps
Atlassian Intelligence adds impressive capabilities to the Jira platform. To figure out the right fit for your budget, you can use the math on your user count and Rovo's usage meters: credits and indexed objects.
These features are an excellent choice for teams that use the Atlassian ecosystem as their primary hub. As you grow, you can either consolidate more knowledge into Confluence or adjust your Rovo plan to accommodate external data.
For teams looking for a flexible, easy-to-implement AI that works alongside Jira to bridge gaps between different platforms, checking out a specialized alternative is a smart way to enhance your support setup.
Ready to give your Jira Service Management a boost? Set up eesel AI in minutes and see how it can enhance your support automation.
Frequently asked questions
This guide acts as a practical Jira AI pricing calculator by breaking down the three key factors that determine your costs: your base Jira Cloud plan, the Rovo usage quotas (credits and indexed objects), and your total number of users. It explains how to combine these elements to estimate your overall monthly spend for Jira AI features.
Rovo Credits are tokens spent on demanding AI tasks like Rovo Chat or Deep Research, while Indexed Objects are third-party files connected to Rovo for knowledge sourcing. Both are critical components of the Jira AI pricing calculator because your Jira Cloud plan dictates your monthly allowance for each, influencing potential future usage costs.
Currently, Atlassian states they will provide 90 days' notice before charging for usage that goes over these limits. While the Jira AI pricing calculator helps estimate current quotas, overage fees are not yet enforced, but it's important to monitor usage as this policy may change.
The Jira AI pricing calculator needs to consider that every document you connect to Rovo from outside the Atlassian ecosystem, like Google Docs or SharePoint, counts against your Indexed Objects quota. Keeping track of this limit helps you manage your budget effectively as your knowledge base grows.
The Jira AI pricing calculator primarily focuses on direct costs. However, the blog highlights that the virtual agent's effectiveness is maximized when your knowledge base is well-organized within Atlassian tools. Ensuring your data is readily available within the ecosystem helps you get the best return on your AI investment.
For teams seeking powerful AI without the complexity, eesel AI offers a straightforward alternative that works within the Jira ecosystem. It connects to diverse knowledge sources and provides clear, predictable pricing, simplifying your budget estimation compared to the standard Jira AI pricing calculator.
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Article by
Kenneth Pangan
Writer and marketer for over ten years, Kenneth Pangan splits his time between history, politics, and art with plenty of interruptions from his dogs demanding attention.
