Six months after launching its Rovo AI platform to the public—initially as a paid add-on—Atlassian is now offering it free as part of its Premium and Enterprise subscriptions. The company plans to extend this to Standard customers sometime in the future.
“We believe that unlocking the limitless potential of your own knowledge is fundamental, not a privilege you should have to pay extra for,” Jamil Valliani, Atlassian’s head of product for AI, writes in a blog post. He adds in a separate interview that since Rovo’s launch, the company has seen customer AI usage double, and it counts more than one million such users across its suite of apps.
“We think that AI has to be embedded as much as possible into the flow of work to make it effective, to make it easily recallable,” Valliani says.
Along with this announcement, the company has one other thing to reveal: It’s introducing Rovo Studio, a tool designed to help users create “AI-enhanced agents, automation, and more easy-to-build by anyone on a team whereas right now, they can often be a bit less approachable.”
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What Is Atlassian Rovo?
First introduced in May 2024, Rovo is an AI-powered knowledge discovery tool for the enterprise. It consists of three components and is designed to create a workflow for organizations to discover content and improve decision-making. The first is Rovo Search, an enterprise search app that consolidates all the information from an organization into a single place.

The second is Rovo Chat, a conversational bot that allows you to ask about the status of marketing campaigns, receive feedback on your work, or help resolve issues. It’s based on an organization’s data, ensuring minimal hallucinations within responses.

The final piece of Rovo is the agents. Atlassian describes them as specialized bots organizations can use in workflows to help with time-consuming tasks, complete projects, and more. As I reported in 2024, they’re tasked to help employees newly equipped with knowledge take action.

What’s New in Atlassian Rovo?
Atlassian isn’t content with simply bundling Rovo with its Premium and Enterprise plans—it’s updating the AI platform with new features.
More Connections For Rovo Search
“Atlassian is already one of the biggest enterprise search players on the planet,” Valliani boasts, highlighting that it has “millions of users” and “300,000 organizations” that are using it to search and find information every month. To grow this number, Atlassian has invested in Rovo Search, improving the number of third-party connections it supports. Initially, there were eight integrations, including Google Drive, Microsoft Sharepoint, GitHub, Slack, Microsoft Teams, and Figma. Valliani predicted that that number would grow to 80 “of the most popular SaaS applications” within six months. However, the company has fallen short, with more than 50 currently signed up today.
“That covers all of the favorite SaaS apps that customers have—big and small— so that there’s now minimal friction to actually getting all of your data in searchable and in Teamwork Graph, so you can actually use this as your single search engine,” he explains.
The company is also introducing automatic crawling and real-time indexing of links shared in Confluence and JIRA. It’s also doubling the number of AI-generated summary answers in search results, providing instant insights without browsing multiple documents. The search experience has also been enhanced with rich, contextual results that feature app-specific thumbnails and mentions, complete with an understanding of the relationship between content, team members, and projects.
Deep Research Coming to Chat
Rovo Chat is next in line for an upgrade. This app “just unlocks so much knowledge for [users] that normally would have just been really painful for them to find and helps them act on it,” Valliani claims. He points out that Atlassian has been investing in capabilities to do just that. The company will soon add Deep Research to Rovo Chat as part of that effort.
“We think it’s even more useful in an enterprise setting because lots of companies have been around for a very long time,” Valliani remarks. “They’ve made decisions before—the learnings, the pros and the cons, who worked on it, what were the deals back then—that often gets lost. It’s just buried in this sea of knowledge. Even if you do a search, you might scratch the surface because there are hundreds of articles over many years to actually troll through. And with deep research, we really think it’s helpful at bringing all that information to bear when you’re trying to go and make complex decisions.”
New Agent Collections
Atlassian has rolled out a new set of out-of-the-box agents designed to enhance collaboration. The launch follows the successful integration of nearly 2,000 Rovo Agents into customer workflows over the past year.
But how does Atlassian define an agent?
According to Valliani, they’re virtual teammates built by human workers using natural language and little to no code. “They’re trained to look at certain knowledge. They’re gifted specific powers, and they’re able to work collaboratively with you, synchronously or asynchronously, to accomplish one or more tasks that you set it up to look at,” he says. “They’re specialists. They’re not like omnipotent things. That’s fundamentally the key part of the agent. They often also have some sort of character personality…”
The new Teamwork Collection was developed because Atlassian believes that organizations, whether in software, finance, human resources, or any other team, can benefit from its system of work. This software package includes Jira, Confluence, and Loom, all of which are enhanced by AI agents.
Valliani reveals that Atlassian might produce other collections with strategic agents in the future that cater to different sectors, such as service management.
The update also includes new Rovo Agents, such as the Rovo Dev Agents—now in beta—which are designed to give developers deeper insight into the entire development ecosystem. In addition, new service delivery-focused agents aim to streamline operations and enhance the overall user experience.
Introducing Rovo Studio

During our conversation, Valliani presented an example of an onboarding bot Atlassian’s HR team developed in just two weeks with minimal technical training. He revealed the agent responds to 70 percent of new hire questions, saving the team significant time and allowing them to focus on more complex issues.
Valliani expressed astonishment at how non-technical employees can leverage AI to quickly create powerful, practical solutions without needing any advanced coding skills. “I think it’s super exciting to see what people can do, even without a lot of training and with this being pretty new,” he states.
Examples like these are why Atlassian launched Rovo Studio, a no-code/low-code development platform that lets anyone build custom AI solutions. These include agents, automation workflows, real-world objects with assets and schemas, and interactive content views.
“We said we want to roll all the learnings we’ve had from watching our early customers build agents and automation, from watching our own Atlassians build them—I think we have over 3,000 agents running inside [the company] now—and just make it super simple for anyone to create an AI-enhanced agent, to weave it into an automation, to weave it into assets and hubs,” Valliani explains.
He would add further, “We have lots of builders at Atlassian. A lot of our customers come and attach to us because they find our platform super extensible…And they’ve been writing code mostly to this point to go do that. Our belief is that, especially because of the power of AI, that we can make it not just so that these coders can go and extend the platform now, but anyone can extend the platform.”
Most of these updates, except for deep research in Rovo Chats, are expected to be rolled out over the next couple of months. Valliani anticipates all human enterprise customers should see these capabilities by the end of June.
Featured Image: Credit: Atlassian
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