Atlassian Team Europe 2025 Founder Keynote: Key announcements

The keynote outlined Atlassian's continued push toward cloud-based solutions, positioning their cloud platform as essential for modern teamwork.

Following on from the recent end of life statement about Data Center, the "Atlassian Ascent" initiative aims to migrate all customers to the cloud platform, with the company reporting that over 98% of European customers are already on this platform or beginning their transition.

The cloud platform was framed as a necessary evolution from previous Data Center deployments, which were described as outdated compared to current cloud capabilities. For enterprise customers, several scalability improvements were announced, including support for up to 100,000 users on a single Jira site and an increased Confluence user limit to 250,000 users per site.

Enhanced infrastructure and deployment options

To address diverse organisational needs, Atlassian has developed multiple cloud deployment models. The standard commercial cloud serves most customers, while Atlassian Government Cloud caters to U.S. public sector requirements with FedRAMP Moderate authorization. For organisations handling highly sensitive data, Atlassian Isolated Cloud provides a single-tenant environment with isolated compute, storage, and networking resources.

A notable announcement confirmed that Atlassian Isolated Cloud will be available in European regions starting in early 2026, addressing data sovereignty concerns for European customers.

Units: New administrative controls

For large enterprises with complex organisational structures, Atlassian introduced "Units" – flexible boundaries that can isolate sets of users, apps, and data. Each Unit maintains its own user directory, teamwork graph, and AI context, with no data sharing between Units. This structure allows administrators to enforce specific policies, data residency requirements, and AI access controls tailored to different business units, subsidiaries, or external collaborations. Units are scheduled for release early next year.

The teamwork graph as a data intelligence layer

Central to Atlassian's platform strategy is the "teamwork graph," which connects work items, goals, and interactions across the Atlassian ecosystem. The graph currently tracks over 100 billion objects and their relationships, with 1.5 billion objects created or updated weekly through third-party integrations.

The teamwork graph is being expanded through new connectors for applications like HubSpot and Databricks, programmable APIs for custom development, and the materialisation of physical and digital objects through a new "Assets" platform app.

Assets: Managing physical and digital objects

Previously available only in Jira Service Management, Assets is becoming a global platform app that allows organisations to define, connect, and manage both digital and physical business objects. The demonstration showed how a museum could use Assets to track art collections, physical equipment, and digital assets like audio guides, all connected to knowledge objects within the teamwork graph.

This expansion enables search, AI applications, and connected workflows across an organisation's complete ecosystem of knowledge, digital, and physical assets.

Rovo: AI capabilities and expansion

Atlassian's AI, named Rovo, represents a significant investment in artificial intelligence across their platform. Rovo comprises several components: Search, Chat, and Studio, along with a growing library of agents and skills.

Key announcements included Rovo's expansion to all standard edition customers at no additional cost, availability across more Atlassian applications including Jira Product Discovery and Bitbucket, and the introduction of Rovo for mobile and desktop devices.

Rovo search and chat enhancements

Rovo Search now powers over three million users worldwide, with reported improvements of 20% in search relevance and 35% in performance since January. The search functionality is becoming the default experience in Jira, providing contextual results from across connected applications.

Rovo Chat has experienced substantial growth, with monthly active users increasing 50-fold in six months. New capabilities include image processing (such as extracting information from whiteboard photos), canvas editing for collaborative document creation, personal memory for user preference retention, and email sending skills.

Rovo studio for AI automation

Rovo Studio enables the creation of custom AI agents, automations, and applications. The demonstration showed how users can build agents using natural language descriptions, with the platform automatically generating implementation plans and connecting to various data sources and skills.

A significant development is Studio's ability to build Forge applications using natural language prompts, allowing non-technical users to create custom dashboards and applications without coding. The demonstration created a functional Jira app with multiple data panels and custom styling through conversational instructions alone.

AI trust and security considerations

Addressing enterprise concerns about AI security, Atlassian highlighted compliance with SOC2, ISO 27001, and upcoming EU AI Act requirements. For customers with strict data residency needs, an option to use only Atlassian-hosted LLMs will be available.

Administrative controls now include granular governance over what data enters AI systems, who can access AI features, and who can create and use agents within the organisation.

Conclusion: An integrated AI-powered platform

The keynote presentation positioned Atlassian's offerings as an integrated system where the cloud platform, teamwork graph, and Rovo AI work together to provide what the company terms an "AI-powered system of work." The announcements reflect a comprehensive strategy to embed AI throughout the platform while addressing enterprise requirements for security, compliance, and administrative control.