Atlassian Team'25 Europe: News & highlights about the AI platform Rovo and what they mean for companies

Barcelona, new ideas and lots of "AI in action": our team was at the Atlassian Team'25 Europe on site. Here we summarize the biggest announcements about Rovo and the Teamwork Graph in the first part.

Atlassian's transformation into an AI platform company

The announcements made at Atlassian's Team '25 Europe in Barcelona, particularly those made by the visibly energetic co-founder Mike Cannon-Brookes, signal the culmination of several years of strategic realignment. Atlassian has completed its transformation from a provider of market-leading but often siloed software tools to an AI-native software company. This evolution is guided by a central principle known as the "System of Work". This is a framework that aims to break down the traditional barriers between business and technology teams to create a single, unified operating structure. Atlassian is now primarily a developer of AI tools for teamwork.

The linchpin of this new strategic direction is Rovo, an AI solution that has evolved from a set of functions to a pervasive intelligence layer of the entire platform. Rovo is not just an "AI assistant", but the intelligent engine that powers the System of Work. The mantra "Rovo knows everything, is everywhere and there for everyone!" summarizes this vision of a ubiquitous, knowledgeable AI teammate embedded in all apps of the Atlassian ecosystem.

The System of Work is implemented through "Collections": curated packages of applications and AI agents developed specifically for certain business functions. The general availability of the new Software and Service Collections and significant improvements to the existing Atlassian Teamwork and Strategy Collection mark a decisive shift from selling individual products to providing holistic solutions.

This entire transformation is based on an enterprise-grade cloud platform. After more than a decade of development, the Atlassian Cloud has matured and is backed by massive investments in scalability, security and governance. The introduction of new deployment options such as Isolated Cloud and the concept of Units has been specifically designed to meet the stringent requirements of the largest and most highly regulated organizations, signaling that the platform is ready for any business challenge.

These developments point to a fundamental change in competitive strategy. The focus is no longer on the superiority of individual product functions, but on the integrated intelligence of the entire platform. The value proposition is now based on the synergy created by Rovo and the underlying Teamwork Graph, which brings together information from all connected tools to create a holistic and intelligent working environment. This positions Atlassian not only as a competitor to point solutions, but also to comprehensive work platforms such as Microsoft 365, with the aim of becoming the central nervous system of modern organizations.

The Rovo ecosystem: The AI engine from Atlassian

Rovo is Atlassian's most significant strategic initiative and acts as a unified AI layer embedded in all cloud products. It is designed as the primary interface through which teams interact with their collective knowledge and as an engine that automates complex workflows.

Rovo knows everything, works everywhere and helps everyone

Rovo fundamentally changes the way users interact with the Atlassian platform, shifting the focus from manual navigation and search to a conversational, action-oriented way of working.

Rovo Search: Now the default search function in Jira, Rovo Search leverages the intelligence of the Atlassian Teamwork Graph and a growing library of over 50 connectors - including new additions for AWS, Salesforce, GitBook and HubSpot - to deliver highly personalized and contextual results.

Surveys show that 78% of users find the results more accurate than other tools. It not only provides links, but also "intelligent answers" that summarize information and suggest relevant follow-up questions.

Rovo Chat: This dialog-oriented front end functions as a collaborative workspace. It goes beyond a simple question-and-answer bot, by incorporating personal reminders to customize responses, enabling multimodal inputs such as files and images, and having a "Skills" directory with over 100 ready-to-use functionswhich can be called up to carry out direct actions, such as creating an e-mail or searching the Internet.

Ubiquitous access: A core tenet of the Rovo strategy is its pervasive availability. It is integrated into almost all Atlassian cloud products and, which is particularly important, across all plan tiers, including Standard.

Furthermore, with dedicated desktop and mobile apps, Rovo's AI capabilities are accessible at every user touchpoint, making it a constant and available teammate.

Rovo as an agent-based automation engine

Rovo facilitates the transition from simple, trigger-based automation to proactive, "agent-based" workflows in which AI can take on complex, multi-step tasks.

• Rovo agents: These are specialized AI team members designed to perform specific functions. They can be called directly in editors (using the /ai command), integrated into Atlassian automation rules to optimize existing workflows, or tasked with coordinating entire business processes from start to finish.
• Rovo Studio: The announcement of Rovo Studio marks a pivotal moment in the democratization of AI development on the Atlassian platform. It's a no-code/low-code builder that allows any user, regardless of their technical skills, to create their own custom agents and automations. A forthcoming feature will even allow users to "vibe-code" production-ready Forge applications with plain English, dramatically lowering the barrier to creating powerful, customized solutions that are securely hosted on the Atlassian platform. This in-house development capability provides a powerful alternative to the Atlassian Marketplace for building smaller, customized solutions and gives organizations more control over their tools and security posture.
• Advanced orchestration: The power of the platform is further enhanced by a library of pre-built capabilities and support for advanced orchestration logic, enabling the creation of sophisticated, multi-stage and even parallel branched processes that mirror complex business workflows. This represents a fundamental shift in the relationship between user and software, away from a model where the user controls the software to one where the user collaborates with a team of specialized human and AI agents and delegates outcomes rather than executing individual steps.

Specialized agents for core business functions

Atlassian has launched several purpose-built Rovo agents that serve as the intelligent core of its Software and Service Collections, demonstrating the practical application of agent-based AI. Find out more about Rovo Dev, Rovo Service & Rovo Ops.

Trust and governance at enterprise level

Rovo is built on a foundation of trust to address the key concerns of organizations around AI security and privacy. Atlassian hosts its own large language models (LLMs), offers customers the ability to use individually managed keys for encryption, and gives administrators detailed control over access to AI features and agent usage permissions.

The platform's architecture includes the Model Context Protocol (MCP), which acts as a secure bridge to external AI tools and models, ensuring that all data interactions remain subject to Atlassian's robust security framework.

The Teamwork Graph: The open data layer

The Teamwork Graph is the intelligent data layer that connects people, projects and knowledge across the entire Atlassian platform and forms the technical heart of the System of Work. It currently maps over 10 billion objects and their relationships.

• Opening of the graph: Atlassian releases the Teamwork Graph so that other systems can access it via APIs. This gives developers and partners programmatic access to the rich, contextual data layer that powers Rovo. This decision transforms Atlassian from a closed application provider into a true development platform that enables a new ecosystem of hyper-intelligent custom applications to be built on its data foundation.
• Expansion of connectivity: The graph is getting stronger because there are new connectors for custom data sources and "Assets" is now a platform-level service - so asset objects can be embedded and linked in any Atlassian app.

Atlassian Investments 2025

• Cycle (Sept 2025): A feedback and product discovery tool to strengthen Jira Product Discovery.
• Browser Company (Sept 2025) with Dia Brower: The strategic idea is the browser for Knowledge Work. Dia is the AI-centered browser of the The Browser Company. Unlike traditional browsers, which only integrate AI as an add-on, Dia AI a core componentChat & Assistant sit directly in the browser window, understand the open tabs and provide answers, summaries and actions "in context" - without tool hopping.
• DX (Sept 2025): An engineering intelligence platform that helps teams measure and improve developer productivity (-> in the Software Collection - Compass & DX will merge).
• Borneo.io (May 2025): an enterprise-class security and privacy observability platform that helps organizations identify, understand and directly address risks associated with sensitive data (-> enhanced features and functions of Atlassian Guard).

The future is an AI-supported, standardized workflow

Atlassian has not only shown many individual features at Team'25 Europe (and even before), but also a clear, coherent strategy. Goal: away from individual tools, towards integrated solutions. The focus is on Rovo as an AI engine. Together with the Collections, Rovo is intended to eliminate the separation between development, IT and business.

The core message: unify and empower. Team leads and project managers get the right tools and information to align their teams' work directly with business goals. Instead of scattered, separate tools, a common work system is created in which context flows and AI makes work smarter in many areas.

The Atlassian Cloud is ready for this: scalable, secure and compliant - tried and tested for years. With Atlassian Ascend, there is a clear migration path. In short: now is a good time to switch to standardized, AI-supported collaboration.