
It seems like every software tool has its own AI assistant these days, and for good reason. The promise is that they’ll help streamline work, connect scattered information, and let teams get back to more important stuff. Atlassian is throwing its hat in the ring with Rovo, a new AI teammate designed to be the central brain for its cloud tools like Jira and Confluence.
But whenever a new tool gets this deeply integrated into a workflow, you have to ask: is it actually right for us? This guide will give you a no-nonsense look at what Atlassian Rovo is, what it does, how much it really costs, and some major limitations to consider. We’ll cover everything you need to decide if it’s the right move for your team.
What is Atlassian's Rovo AI for Cloud Products?
Atlassian Rovo is an AI tool built to bring search, chat, and automation together across the Atlassian Cloud platform. You can think of it as an assistant that’s been trained on your company’s specific projects and documents, helping you find things and get work done a bit faster.
The secret sauce behind Rovo is what Atlassian calls the "Teamwork Graph." It’s basically a map of how all your teams, projects, and documents are connected. By understanding these relationships, Rovo can give you answers that have more context. It’s not just looking for keywords; it’s trying to understand the full picture of what’s happening at your company.
Rovo delivers its features through three main parts:
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Rovo Search
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Rovo Agents
Key features of Rovo AI for Cloud Products
Alright, let's get into the specifics of what Rovo can actually do for your team.
Rovo Search: Finding things across all your apps
Rovo Search aims to be the one search bar to rule them all. It can pull information from your Atlassian products and connect to over 50 other apps like Google Drive, Slack, and Notion. The biggest win here is pretty simple: you spend less time hopping between browser tabs to find that one document you need.
It also respects your existing permissions, so people only see what they're supposed to. While that's good for security, pulling together useful knowledge from dozens of places is a tough nut to crack. Even with great indexing, it can be difficult to find the real, practical context hidden in thousands of old support tickets, which is often where the most valuable answers are hiding.
Rovo Chat: Your conversational teammate
Rovo Chat is a chat assistant that you can use right inside your Atlassian tools. You can ask it to do things like summarize documents, answer questions, or even help you brainstorm. For instance, you could ask, "What were the main takeaways from our last project meeting?" or "Give me the short version of this Confluence page," and it'll spit out an answer with links to the original sources. It’s a nice way to get quick summaries without reading through everything yourself.
Rovo Agents: Putting repetitive tasks on autopilot
Rovo Agents are where the automation comes in. These are basically AI-powered helpers you can set up to handle boring, repetitive tasks. You could have an agent draft a weekly update, help organize a messy Jira backlog, or compile release notes from a list of finished tickets.
Atlassian gives you a low-code/no-code tool called Rovo Studio to build these agents. But let's be real, creating and testing custom agents that mess with your live data can be pretty nerve-wracking. You need a way to see what an agent will do before you let it run wild on actual customer issues or internal projects. This is where having a tool like eesel AI with a powerful simulation mode is a huge relief. You can test your AI setup on thousands of your past tickets in a safe environment, see exactly how it would have replied, and get a clear picture of its performance before it ever goes live.
How to set up Rovo AI for Cloud Products (and its limitations)
Getting started with Rovo sounds simple enough, but only if you fit into a very specific box.
The biggest catch: It’s for Atlassian cloud products only
Let's be very clear about this: Rovo is only available for Atlassian Cloud customers who are on Standard, Premium, or Enterprise plans. It is not available for Data Center or Server setups.
The implication here is pretty huge. To use Rovo, your organization has to be completely bought into the Atlassian Cloud world. This leads to serious vendor lock-in, basically forcing you to use their whole suite of tools to get the AI benefits. This approach feels a bit old-school compared to more modern AI platforms. For example, eesel AI is designed to be flexible. It connects directly to the helpdesk tools you already use, whether that’s Zendesk, Freshdesk, Intercom, or Jira Service Management. You get the power of AI without having to go through a massive, disruptive migration just to use it.
The setup process and phased rollout
Rovo is being released gradually, with Premium and Enterprise customers getting it first. Standard plans are expected to get access later in 2025. Your site admin has to turn on Atlassian Intelligence features for everyone before you can even start using it.
And while Atlassian makes the integration look smooth within its own bubble, connecting all your third-party apps and setting up custom agents still takes time and technical know-how. This is a far cry from the quick, self-serve setup of a platform like eesel AI, where you can connect your helpdesk with one click and get up and running in minutes, not months.
Understanding the pricing and true cost
On the surface, Rovo’s pricing looks fantastic. It’s included at no extra cost with paid Atlassian Cloud plans. But as we all know, "free" is rarely ever actually free.
The real story is that this access comes with usage limits that depend on your subscription tier. These limits are measured in "indexed objects per user" and, more importantly, "AI credits per user per month."
License | Product | Indexed objects per user | AI credits per user per month |
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Premium | Jira, Confluence, JSM | 250 | 70 |
Teamwork Collection | 2500 | 700 | |
Enterprise | Jira, Confluence, JSM | 625 | 150 |
Teamwork Collection | 6,250 | 1,500 |
Here’s what that actually means for your wallet:
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The real price of Rovo is the expensive Atlassian Premium or Enterprise plan you have to buy to get it.
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The "AI credit" system makes your costs unpredictable. What happens if your team has a busy month and blows through all its credits? That uncertainty can make budgeting a real headache, especially if your team is growing.
This is a totally different approach from platforms that value straightforwardness. eesel AI, for example, offers transparent and predictable pricing. Our plans are based on the features you actually need, with generous limits and no fees for every ticket it resolves. You know exactly what you’re paying every month, so you won’t get a surprise bill just for having a productive period.
The verdict: Is Rovo AI for Cloud Products the right AI for your team?
There’s no doubt Rovo is a powerful AI assistant, but it’s really only built for one type of customer. If your company is already living and breathing the Atlassian Cloud ecosystem on a Premium or Enterprise plan, then Rovo is a natural fit and definitely worth checking out.
However, its downsides are pretty significant: you’re locked into their platform, setting up custom automations can get complicated, and the pricing model hides the real cost behind pricey subscriptions and confusing credit limits.
So, what's the bottom line? If you’re an Atlassian Cloud power user, give Rovo a look. But if you care about flexibility, simplicity, and knowing what you’re paying for, you’ll probably want a solution that works with your existing tools, not one that forces you to adopt theirs.
Get powerful AI without switching your helpdesk
You want the benefits of a top-tier AI agent, but you really don't want the hassle, disruption, and cost of moving your entire support system just to get it.
This is exactly where eesel AI fits in. It gives you an autonomous AI agent that learns from your past tickets and knowledge bases to handle frontline support and help your human agents. It’s built to be powerful without being complicated.
With eesel AI, you can go live in minutes, have full control over what gets automated, connect all your knowledge sources, and do it all with clear, predictable pricing.
Ready to see what a truly flexible AI platform can do for your support team? Try eesel AI for free and set up your first AI agent today.
Frequently asked questions
Rovo AI for Cloud Products acts as an AI assistant across Atlassian Cloud tools, providing unified search, conversational chat, and automation through AI agents. It leverages your company's data to streamline workflows and connect scattered information.
No, Rovo AI for Cloud Products is exclusively available for Atlassian Cloud customers on Standard, Premium, or Enterprise plans. It is not supported for Data Center or Server setups, which is a significant limitation for many organizations.
While Rovo AI for Cloud Products is "included" with paid Atlassian Cloud plans, its true cost is tied to requiring these higher-tier subscriptions. It also operates under usage limits for indexed objects and AI credits per user per month.
The primary features of Rovo AI for Cloud Products include Rovo Search, Rovo Chat, and Rovo Agents, which automate repetitive tasks using a low-code/no-code studio.
The blog indicates that exceeding AI credit limits for Rovo AI for Cloud Products can lead to unpredictable costs, making budgeting a challenge. Atlassian's documentation would likely detail specific actions or overage charges, but the uncertainty is highlighted as a concern.
Setting up Rovo AI for Cloud Products involves a phased rollout, initially for Premium and Enterprise customers, with Standard plans following later in 2025. Your site admin must enable Atlassian Intelligence features, and integrating third-party apps and custom agents requires additional time and technical know-how.
Yes, Rovo AI for Cloud Products can pull information from over 50 other apps like Google Drive, Slack, and Notion for its search capabilities. However, its core functionality and deep integration remain predominantly within the Atlassian Cloud ecosystem.