Atlassian’s boldest move at Team ’25 was declaring AI as part of the team. With over 1 million users engaging monthly, the company is evolving Rovo into a full-scale AI platform for all Cloud customers.
Atlassian is taking its next step by evolving Rovo into a full-scale AI platform that is available to all Cloud customers across all plan tiers.
But Rovo isn’t just for Jira, Confluence, or Atlassian-native workflows. With over 50 data connectors and growing, Rovo now extends into third-party SaaS tools—bringing intelligent search, chat, and automation to data across platforms like Google Drive, Slack, Salesforce, and even Confluence and Jira Data Center instances. It’s a platform designed to unify knowledge and action, wherever your work happens.
Already a leader in service management and collaboration, Atlassian is using Rovo to reshape how teams search, chat, automate, and build across tools, teams, and time zones. And now, it’s being delivered through a powerful trio of AI apps, purpose-built to make AI more accessible and actionable for every team.
The biggest shift is access: Rovo is no longer exclusive to Enterprise tiers. Announced at Team ’25, Atlassian is making Rovo available to all customers on Standard, Premium, and Enterprise Cloud plans across Jira, Confluence, Jira Service Management, and Teamwork Collection. Rollout begins with Premium and Enterprise customers, with Standard customers gaining access later this year.
This marks a major milestone in Atlassian’s platform strategy. The move reflects their belief that AI is no longer a luxury—it’s foundational to enterprise transformation. By removing access barriers, Atlassian is accelerating adoption and helping teams bring AI directly into their workflows.
For organizations already embracing AI, this also means a greater return on their investment. For others, it’s an open invitation to begin.
Source: Atlassian Team'25 Founder Keynote
Rovo is now structured as a suite of three dedicated apps, each designed to deliver intelligent experiences within the Atlassian platform:
Rovo Search is Atlassian’s answer to enterprise-grade knowledge discovery. It unifies search across Atlassian tools and third-party systems, enhanced by the Teamwork Graph. With over 50 data connectors, including new ones for Confluence and Jira Data Center, users can find what they need—fast, and in context. Rovo Search also features smart links, tailored suggestions, and contextual follow-ups, making it smarter than open-source equivalents and already 60% more successful in user studies.
Rovo Chat brings AI-powered conversation to the center of team collaboration. It understands goals, actions, and team context, offering relevant insights and automating routine tasks like updating Jira tickets or sending Slack messages. New features like Deep Research and Data Visualization (coming soon) will allow users to analyze tables, build reports, and explore complex topics with ease, directly within chat.
Rovo Chat is also highly accessible, now available across Confluence mobile, desktop, and via a browser extension, ensuring AI is always one message away.
Designed for admins, power users, and builders, Rovo Studio is a new low-code/no-code environment to create agents, automation, and AI-powered workflows. It’s fully integrated with Forge for advanced developers, but simple enough for non-technical users to build confidently.
Rovo Studio enables creation of AI agents, asset hubs, and workflows that align with business logic and organizational data—all grounded in the Teamwork Graph.
Source: Atlassian
At the heart of the Rovo experience are Rovo Agents — AI teammates that go beyond simple automations. These agents are designed to understand goals, access data across multiple systems, and take meaningful actions inside and outside of Atlassian tools.
Rovo Agents are deeply integrated with Atlassian Cloud apps like Jira, Confluence, and JSM — but they’re just as capable of working across a growing list of third-party platforms, thanks to over 50 data and action connectors. Whether it’s pulling a document from Google Drive, creating a ticket in Salesforce, triggering a calendar event in Google Workspace, or referencing information stored in Confluence Data Center — Rovo Agents act across your full stack.
These agents are either pre-built or custom-developed via Rovo Studio, where teams can build task-specific agents using low-code tools. Each one is designed with a structured, secure approach:
Agents are goal-driven and follow clear instructions
They interact with enterprise data and other agents in real-time
They’re always human-in-the-loop by default, ensuring control and oversight
By integrating with the tools teams already use daily—both inside and outside the Atlassian ecosystem—Rovo Agents help unlock a truly connected, AI-driven workflow.
Source: Atlassian Team'25 Founder Keynote
AI has enormous potential to boost developer productivity—but so far, many teams aren’t seeing the impact. According to Atlassian’s recent DevEx survey, while leaders cite AI as the #1 opportunity to improve developer performance, 62% of developers report no measurable gains so far. The reason? The problem isn’t coding—it’s everything around it: context switching, fragmented planning, idle PRs, and misaligned requirements.
That’s exactly what Rovo Dev Agents aim to solve.
Now in public beta, Rovo Dev Agents bring AI directly into the developer workflow, across tools like Jira, Bitbucket, and GitHub. These agents help dev teams stay focused by eliminating friction points throughout the development lifecycle.
Here’s what they can already do:
Expand a one-line Jira task into a fully detailed breakdown, including links, designs, and related docs.
Generate working code directly from tickets.
Validate output against business criteria.
Pre-review pull requests with AI before human input—cutting review delays dramatically.
At Atlassian, teams using Rovo Dev Agents have already seen pull request cycle times improve by 45%. That’s not just code faster—it’s smoother collaboration, cleaner handoffs, and less time lost to miscommunication.
As Rovo becomes more deeply embedded into enterprise workflows, trust, security, and control are top of mind—especially when third-party systems are involved. Atlassian has responded with a set of robust governance features that make Rovo ready for enterprise-scale adoption.
Customers can now choose the geographic region where their Rovo data is stored and processed—an essential requirement for regulated industries and global organizations.
Rovo is now fully certified for SOC 2 and ISO 27001, reinforcing its readiness for enterprise use.
Admins can now view detailed metrics on how AI—and Rovo specifically—is being used across the organization, including which apps and integrations are driving the most value.
Every action taken by Rovo or its agents is logged, giving organizations transparency and accountability.
Admins have enhanced control over what third-party systems Rovo connects to, and how data is used—ensuring compliance with internal policies and regulatory standards.
By integrating seamlessly with a broad range of external tools, Rovo brings the benefits of AI to the full ecosystem, while still giving enterprises the oversight and safeguards they require.
Source: Atlassian Team'25 Founder Keynote
With Rovo now at the core of the Atlassian Cloud experience, the platform is evolving from a collection of tools into an intelligent system of work. From low-code agent building to enterprise search and contextual chat, Rovo empowers teams to work smarter, not harder.
And with availability across all Cloud tiers, every Atlassian user now has the opportunity to make AI part of their team.