Atlassian Rovo, an AI-powered suite of search, chat and agents, is now included in Jira, Confluence and Jira Service Management subscriptions, and Premium and Enterprise users have it enabled by default with no separate AI app or add-on to purchase. Atlassian has announced Rovo will roll out to Standard plans in the near future.
Modern teams are increasingly relying on AI-driven tools as “co-pilots” to automate tasks, generate insights, and augment human creativity. Rather than replacing human expertise, AI is enhancing it, allowing people to focus on high-value work while repetitive or data-intensive tasks are handled by intelligent assistants. Atlassian recognizes that the future of teamwork lies in this human-AI partnership. That’s why Atlassian is taking a bold step to embed AI directly into its core products, ensuring every team can benefit from an AI teammate. Enter Atlassian Rovo: an AI-powered suite (search, chat, and agents) that is now included in Jira, Confluence, and Jira Service Management subscriptions. This move marks a milestone in making AI an integral part of everyday collaboration, so teams of all sizes can work smarter and faster.
Atlassian Rovo is a comprehensive AI suite seamlessly integrated into the Atlassian Cloud platform. It consists of four main components, each designed to tackle different aspects of teamwork intelligence:
Rovo Search: A powerful, context-aware search engine that goes beyond simple keyword matching. Rovo Search indexes your organization’s knowledge across Jira issues, Confluence pages, and even connected third-party apps (like Slack, Google Drive, GitHub, and more). It leverages Atlassian’s Teamwork Graph to understand context and intent, delivering personalized results that help break down information silos. Teams can quickly find the exact project update, decision page, or file they need, saving time and reducing duplicate effort.
Rovo Chat: An intelligent AI assistant that lives within your Atlassian tools, ready to help at any moment. Think of Rovo Chat as a virtual team member who can answer questions in plain language, summarize lengthy documents or ticket threads, brainstorm ideas, and even take actions, all through a chat interface. For example, a user can ask, “Summarize the last sprint’s key outcomes,” or “Create a Jira task for this meeting follow-up,” and Rovo Chat will respond or perform the action instantly. By bringing an always-available helper into the flow of work, conversations in Confluence or Jira become more productive and actionable.
Rovo Agents: Specialized AI teammates that automate tasks and provide domain-specific expertise. Out-of-the-box Rovo Agents come pre-trained for common scenarios: from Dev Agents that assist with software development (like generating code snippets or reviewing pull requests against requirements) to IT support agents that help triage service requests. These agents proactively assist teams within their workflows. For instance, a Rovo Dev Agent can turn a natural-language request (“build a code stub for feature X”) into actual code or create Jira tickets from meeting notes. Rovo Agents are also customizable, so you can tailor them or build new ones to fit unique processes in marketing, HR, operations, and beyond. They act as tireless coworkers handling the “busy work” and surfacing insights, so your human team members can focus on more strategic initiatives.
Rovo Studio: A no-code/low-code builder environment that empowers anyone (not just developers) to create custom AI solutions. Rovo Studio is like a workshop for building your own Rovo Agents, automations, and integrations, all without needing to write complex code. Through an intuitive interface, teams can define an agent’s behavior, connect it to data sources, set up automation rules, or even model real-world objects and processes. This means if you have a specific workflow or repetitive task unique to your business, you don’t have to wait for a vendor solution; you can design an AI agent for it yourself in Rovo Studio. By democratizing AI creation, Atlassian enables every team to adapt Rovo to their needs, fostering innovation at the grassroots level.
Together, these components make Rovo a versatile AI teammate embedded across your work ecosystem. Rovo Search keeps knowledge at everyone’s fingertips, Rovo Chat provides on-demand assistance in context, Rovo Agents take on specialized tasks, and Rovo Studio lets teams continuously extend and customize what Rovo can do. All of this is built natively into Atlassian’s cloud platform, meaning setup is minimal: the AI features surface right inside Jira and Confluence where your team already works.
One of the most exciting aspects of Atlassian’s announcement is that Rovo’s rich AI capabilities are now available at no extra cost for many Atlassian Cloud subscribers. Here are the key features and what they mean for Jira, Confluence, and JSM users on various plans:
AI-Powered Search Across All Your Tools: Rovo’s enterprise search functionality is now built into your Atlassian products. Premium and Enterprise plan users can instantly search across projects, pages, and files, even across integrated apps, with results ranked by relevance and context. (Standard plan users can look forward to getting this capability soon, as Atlassian has announced Rovo will roll out to Standard plans in the near future.) No more paying for a separate enterprise search appliance; it’s included in your subscription, helping every user find information faster.
Intelligent Chat and Automation in Jira and Confluence: With Rovo included, you’ll notice new AI assistant features within Jira and Confluence (for Premium and Enterprise tiers today, and coming to Standard). This means you can ask questions in Confluence and get instant answers or summaries, generate content like drafting a requirements page from bullet points, or create Jira issues via a conversational prompt. Teams on Premium/Enterprise can leverage these chat-based automations immediately to speed up daily work, without any additional licensing. Soon, even Standard users will have an AI helper on standby in their projects and docs.
Out-of-the-Box Rovo Agents: All Premium and Enterprise customers now have access to Atlassian’s library of Rovo Agents relevant to their products and workflows. For example, Jira Software Premium users can utilize development-oriented agents (like a Code Reviewer Agent that checks pull requests against Jira acceptance criteria, or a Stand-Up Bot that compiles daily updates). Confluence users might use a Knowledge Assistant Agent that can pull answers from spaces or create how-to articles. These agents are ready to go and can dramatically cut down the manual effort on routine tasks. Importantly, this is included in your plan, no separate AI product to buy or install. (Standard plan users will get access to these AI agents once Rovo is added to Standard, so even smaller teams will soon enjoy the same productivity boosts.)
Rovo Studio Access for Custom Solutions: If you’re on Premium or Enterprise, you can dive into Rovo Studio and start crafting your own AI-driven automations and agents immediately. This opens up endless possibilities: you could build an agent that watches a Jira Service Management queue and auto-responds to common requests, or an agent that scans Confluence for pages missing owners and notifies the right people. Because it’s included, innovators and admins in your org can experiment freely without worrying about extra cost. (Atlassian has indicated that Rovo Studio will extend to Standard plans as well, meaning every customer can become an AI builder in time.)
No Additional Cost, No Separate Add-On: The inclusion of Rovo in these plans means you don’t need to purchase a separate AI app or add-on; it’s part of the Atlassian Cloud experience you’re already paying for. Premium and Enterprise users have Rovo enabled by default as of now. Standard plan inclusion is on the horizon, which will make AI capabilities a built-in expectation for all Atlassian users. This pricing change lowers the barrier to entry for AI: teams can start using Rovo’s features right away and discover the value through day-to-day use, without a procurement process. Atlassian’s move essentially treats AI as a fundamental feature of work management, not a luxury add-on.
What does having Atlassian Rovo included mean in practical terms? It means teams can accomplish more in less time, with less effort, across a variety of workflows. Here are just a few examples of how Rovo can elevate teamwork in different scenarios:
Software Development: Development teams can use Rovo to streamline their workflow from planning to deployment. Imagine a developer in Jira who needs to update documentation and create follow-up tasks after a design meeting. With Rovo Chat, they can upload the meeting notes and ask for a summary or extraction of key action items, which Rovo can then turn into Jira tickets automatically. Rovo Dev Agents can even help write code: for instance, a developer might describe a function they need in plain language and get a code snippet or unit test draft to speed up implementation. Code review becomes faster as AI agents flag potential issues and ensure consistency with requirements. The result is accelerated development cycles and fewer mundane chores for engineers.
IT Support and Service Management: For IT teams using Jira Service Management, Rovo is a game-changer. Common support requests (password resets, access requests, FAQs) can be handled by an AI agent that pulls answers from Confluence knowledge base articles and responds to the customer instantly. Meanwhile, Rovo can assist support agents by suggesting relevant knowledge base links or even drafting responses for approval. This reduces resolution times and frees up human IT staff to focus on more complex issues. Additionally, during major incidents, Rovo Agents like a “Root Cause Analyzer” can surface related tickets, recent deployments, and impacted services to help incident managers diagnose problems faster with AI-curated context.
Project Management and Business Teams: Project managers and non-technical teams benefit greatly from Rovo’s ability to break down information barriers. A marketing team using Confluence, for example, can ask Rovo Search to find all pages related to “Q3 launch plan” and get results including Jira tasks, Confluence meeting notes, and even relevant files in Google Drive, all in one place. During planning sessions, Rovo Chat can generate draft project plans or creative briefs from simple prompts, which the team can then refine. This accelerates preparation of documents and ensures nothing important is overlooked. For status reporting, a project manager could ask Rovo to compile key updates across Jira and Confluence for a weekly report, saving hours of manual gathering and copy-pasting.
Cross-Functional Collaboration: One of the biggest benefits of Rovo is how it connects different parts of the organization. With the underlying Teamwork Graph linking work across tools, a sales team member could query Rovo for the latest product roadmap update (sourced from Jira) and customer-facing documentation (from Confluence) in one go, helping them respond to a client’s question with confidence. Similarly, a new hire onboarding in any department could rely on Rovo Chat to learn company policies or find relevant people and projects, drastically reducing the time it takes to ramp up. Rovo essentially serves as a bridge between teams, surfacing the knowledge and context needed for everyone to stay aligned and informed.
In all these cases, the common theme is that routine tasks get easier and information flows more freely. Teams spend less time searching, summarizing, or switching between apps, and more time executing on their goals. Decisions can be made faster with all the facts at hand, and creative work gets more attention as administrative busywork is offloaded to AI. By embedding Rovo into day-to-day workflows, Atlassian is enabling a more efficient, connected, and innovative way of working for every team.
Atlassian Rovo’s power doesn’t stop at out-of-the-box features; it also offers unique advantages through Rovo Studio and the Teamwork Graph that set it apart from generic AI tools. Here are some key benefits of these capabilities:
Empowerment through Rovo Studio: Rovo Studio puts the capability to build and tailor AI in the hands of your team. This means you can address workflow gaps or automate niche processes without waiting on a product update or writing a full software script. For example, if your finance team wants an agent to auto-generate quarterly report outlines based on Jira data and Confluence notes, they can create it in Rovo Studio with clicks and simple configurations. By lowering the technical barrier, Rovo Studio turns project managers, business analysts, and other power users into “AI builders.” The advantage is agility: teams can innovate and customize their tools on the fly, creating a competitive edge unique to their way of working.
Unified Knowledge with Teamwork Graph: Atlassian’s Teamwork Graph is the secret sauce that makes Rovo’s AI especially smart and context-aware. The graph connects people, projects, issues, pages, and even outside tools into a knowledge network. The advantage is that Rovo understands the relationships in your work: who worked on which project, what tasks are linked to which goals, and where information lives. This unified graph enables Rovo to deliver highly relevant answers and recommendations. Ask a question about “release Alpha,” and Rovo knows which Confluence pages, Jira tickets, and team members relate to that codename. In practice, this means less time explaining context to the AI and more time getting value from it. Teamwork Graph turns disparate data into a cohesive brain for your organization, ensuring that when Rovo searches or advises, it’s drawing from the full richness of your enterprise knowledge.
Proactive and Contextual Assistance: Thanks to Rovo Studio and the Teamwork Graph working in tandem, Rovo can go from being just reactive (answering what you ask) to proactive (anticipating what you might need). Teams can program Rovo (via Studio) to watch for certain triggers: for instance, when a project deadline slips, a custom agent could proactively suggest reassigning tasks or alerting stakeholders, armed with context about who is affected. The Teamwork Graph makes these suggestions accurate, as Rovo is aware of project hierarchies and history. This kind of intelligent automation and foresight is a huge advantage: work doesn’t fall through the cracks, and the AI helps you stay one step ahead in your workflow.
In short, Rovo Studio gives organizations the flexibility to mold AI to their unique processes, while the Teamwork Graph ensures the AI has the contextual knowledge to be truly effective. Together, they amplify each other: custom agents built in Studio are smarter and more useful because they tap into the Teamwork Graph’s data, and the graph’s potential is fully realized when teams craft bespoke solutions on top of it. This dynamic duo helps teams not only use AI, but continually improve how AI helps them over time.
With great power comes great responsibility, and Atlassian has built Rovo with a deep commitment to security and trust. As organizations embrace AI in their workflows, it’s critical that sensitive data remains protected and that admins have control over how AI is used. Here’s how Atlassian addresses those needs:
First and foremost, data security and privacy are at the core of Rovo’s design. Rovo operates on Atlassian’s enterprise-grade cloud infrastructure, which means all the stringent security measures that apply to Jira and Confluence Cloud also apply to Rovo. The AI models and processing are done in a way that does not retain your data beyond what’s necessary to serve you. In practice, this “zero-retention” approach means Rovo isn’t using your proprietary information to train public AI models, and your content isn’t stored outside your trusted Atlassian cloud instance. Your queries and documents remain confidential to your organization.
Rovo also respects your existing permissions and access controls. It will only surface information a user is allowed to see normally. For example, if a marketing employee asks Rovo Chat a question, and the answer lies in a Confluence page restricted to the finance team, Rovo will not reveal that content. This strict permission enforcement ensures that AI assistance doesn’t become a backdoor to information that’s meant to stay private. Team members can trust that using Rovo won’t accidentally expose data across the company that shouldn’t be shared.
Atlassian has further ensured that Rovo meets industry compliance standards and can be adopted with confidence in regulated environments. Atlassian Cloud (and by extension Rovo) complies with certifications like SOC 2, ISO 27001, GDPR requirements, and offers data residency options. These compliance checkpoints mean your organization’s use of Rovo can satisfy audit and policy requirements, just as Atlassian’s core products do.
From an administrator’s perspective, Rovo comes with controls to manage AI features. Admins can enable or disable Rovo’s functionalities on a per-product basis and monitor usage. There are settings to control what types of content Rovo can access or whether it can perform certain actions. This granularity lets IT and compliance teams set boundaries for AI usage that align with company policies. Additionally, Atlassian is continually investing in transparency features, such as AI output labels or usage logs, so that organizations have full visibility into how Rovo is operating within their instance.
Wrapping up, Atlassian emphasizes that while Rovo is incredibly advanced, it’s designed to assist and augment humans, with humans remaining in control. Suggested actions or generated content (like an AI-drafted document) can be reviewed and edited by users before they’re finalized. This human-in-the-loop approach ensures that AI is a helpful partner, not an unchecked agent. By combining robust security infrastructure with thoughtful user control, Atlassian is making sure that teams can confidently embrace Rovo’s capabilities without worry. Atlassian Rovo’s inclusion in your plan comes not only with powerful features, but also the peace of mind that it’s built on a foundation of trust. Your data stays yours, your admins stay in charge, and your team gets the benefits of AI in a secure and governed way.