Atlassian Rovo

What is Atlassian Rovo?

Atlassian Rovo is an AI work assistant that spans Atlassian products and the third-party tools a team connects to it. A person asks a question in plain language, and Rovo searches across Jira, Confluence, and connected apps at once, then returns an answer grounded in that content along with the sources behind it. The aim is one place to ask, so staff stop switching between tools to find what they need.

Atlassian makes the product. Atlassian is the company behind Jira, Confluence, Trello, and Bitbucket, and it introduced Rovo at its Team event in 2024 as the assistant layer across its cloud platform. Rovo builds on the knowledge those products hold, which gives it a base of issues, pages, and project history to draw on from the first day a team turns it on.

The audience is teams that run their work on Jira and Confluence. Software, IT, and operations groups fit the profile, because each one keeps its plans, tickets, documentation, and history inside Atlassian tools that Rovo can search and reason over as a single body of knowledge.

Key features

Rovo centers on a set of capabilities that turn Atlassian content and connected apps into one assistant:

• ▸Atlassian search: one query searches across Jira issues, Confluence pages, and connected tools at once, so staff find content without knowing which product holds it.
• ▸Chat: a conversation surface where a person asks questions in plain language and Rovo answers from company knowledge, keeping the thread for follow-up questions.
• ▸Agents: configurable helpers that carry out multi-step tasks such as drafting pages, triaging issues, and researching a topic, moving Rovo from search into doing work.
• ▸Doc grounding: answers are grounded in a team's own documents and issues, with sources cited, so staff can check where a claim came from.
• ▸Integrations: connectors to third-party tools outside Atlassian let Rovo search sources such as documents, chat, and design apps alongside Jira and Confluence.
• ▸Permission-aware answers: Rovo reflects the access each person holds in the underlying tools, so search returns only content that person has rights to open.

The grounding is central. Because Rovo answers from a team's own Jira and Confluence content and cites the sources, its replies reflect company facts rather than generic text, and staff can trace any answer back to the issue or page it came from. That link between answer and source is what makes the assistant safe to trust for work.

How well does it work?

Rovo performs well for teams that already run on Atlassian cloud. Because it starts with the Jira issues and Confluence pages a team maintains, it has a rich base of company knowledge from the first day, and the grounded, cited answers give staff a fast way to trust and check what they find. The agents extend that value from finding answers into carrying out task work on the same content.

The limits track the setup. Rovo is worth most when a team's work lives in Atlassian tools and the third-party apps it connects, so a source left unconnected stays outside its reach. Answer quality also rides on the content itself: stale or duplicated pages produce stale or conflicting answers, so the underlying documentation still matters. Agents need configuration and review before they take on sensitive tasks without a person checking the output.

A practical way to raise Rovo's value is to clean up your highest-traffic Confluence spaces and Jira projects first. Grounded answers reflect the content you feed them, so trimming stale pages does more for answer quality than adding more connectors early.

Atlassian Rovo pricing

Rovo comes included with paid Atlassian cloud plans. Teams on Jira and Confluence cloud get Rovo Search, Chat, and Agents as part of the platform rather than as a separate purchase, which removes the usual step of buying an assistant on its own.

Because it rides on the Atlassian cloud subscription, the tiers below describe how access is scoped rather than a standalone rate card:

The included model favors teams already paying for Atlassian cloud, since they get the assistant without a new line item. Because usage limits and enterprise terms sit inside the broader Atlassian agreement, confirm which Rovo capabilities your plan covers, how usage is measured, and what an enterprise deployment adds, so you can weigh the value against the time your teams lose to searching today.

Who should use Atlassian Rovo?

Rovo fits teams that run their work on Jira and Confluence and want an assistant over that content. It suits these groups in particular:

• ▸Software teams that track plans, tickets, and technical docs in Atlassian tools and want answers across all of them at once.
• ▸IT and support teams that need grounded answers from internal runbooks, policies, and past issues.
• ▸Operations and project teams that keep documentation in Confluence and want agents to draft, summarize, and triage on that content.
• ▸Organizations on Atlassian cloud that want to add AI without buying and integrating a separate assistant.

Rovo is a weaker match for teams outside Atlassian cloud, including server and data-center customers, and for organizations whose knowledge sits in tools Rovo cannot connect, where the assistant has less content to draw on.

Alternatives and how it compares

Rovo competes with a field of enterprise search and workplace assistant tools. The right comparison depends on where your work lives and how much of it sits inside Atlassian.

• ▸Glean: an enterprise search and AI assistant built to span apps from many vendors, a strong fit when knowledge is spread across tools outside any single suite.
• ▸Microsoft Copilot: a work assistant tied to Microsoft 365 that searches and drafts across Office apps, suited to organizations centered on Microsoft's stack.
• ▸Notion AI: an assistant inside Notion that answers and drafts on content held in that workspace, a fit for teams that document and plan in Notion.

Rovo's edge is its home inside Atlassian: it starts with the Jira and Confluence content a team already keeps and comes included with paid cloud plans. If your work lives in Atlassian tools, Rovo covers it without a new contract. If your knowledge is spread across many vendors, a vendor-neutral option such as Glean may reach more of your stack, so weigh where your content sits against the price.

Limitations and getting started

Be honest about the trade-offs before you commit. Rovo's value rides on Atlassian cloud, so server and data-center teams miss out, and any source left unconnected stays outside its reach. Answer quality reflects the content you index, so stale or duplicated pages produce weak answers, and agents need configuration and review before they take on sensitive work. Usage limits and enterprise terms sit inside the broader Atlassian agreement rather than a simple public rate card.

Getting started follows a clear path:

1. 1Confirm your Atlassian cloud plan includes Rovo Search, Chat, and Agents, and check which capabilities your tier covers.
2. 2Clean up your busiest Confluence spaces and Jira projects so grounded answers reflect current content.
3. 3Connect the third-party tools that hold knowledge staff search, and confirm Rovo respects each person's access rights.
4. 4Pilot Rovo with one or two teams, gather feedback on answer quality, and set up a first agent for a repeatable task.
5. 5Widen the rollout to more teams and connectors as adoption and answer quality hold up.

A staged rollout keeps risk low: start with your busiest Atlassian content and one or two teams, confirm that answers stay grounded and permission-safe, then add sources, agents, and users as the numbers hold. Because Rovo's value grows with clean content and coverage, early wins on high-traffic knowledge build the case for a wider deployment.