On March 26, 2025, it finally happened: The Atlassian Community Karlsruhe was officially relaunched with its first local event. After several years of inactivity, we’re excited to bring back an active platform for Atlassian users in the region. The event took place in a relaxed atmosphere in our container hall at the Alten Schlachthof – deliberately avoiding a sterile corporate setting, and instead offering pretzels, pizza, and (non-alcoholic) beer.
16 people attended this first event, including other Marketplace partners and users from various industries.
Topic of the Talk: Atlassian AI & Rovo in a Real-World Test
The main focus of the first meetup was a hands-on talk (in German) about Atlassian AI and the new AI chatbot Rovo. Both products were introduced by Atlassian in the past two years (2023–2024) and are currently under active development.
What is Atlassian AI?
Atlassian AI is included in the Premium and Enterprise editions of Jira, Confluence, and Jira Service Management. It enhances existing products with generative AI features aimed at simplifying and automating common workflows.
Examples of Atlassian AI features:
Summarization features in Jira and Confluence, e.g., to quickly summarize long tickets or pages
Writing assistant to improve text directly within the editor
Jira Automation with AI: Create automations using plain language (e.g., “If the word ‘crash’ appears, automatically create a bug ticket”)
JQL assistance: Generate complex Jira search queries using natural language (e.g., “Show me all tickets with high priority and the label ‘Projektwoche’”)
Support assistance in Jira Service Management: Suggest answers based on past solutions
Our impression: Well-integrated, pragmatic tools that are particularly helpful for writing tasks. In more complex use cases, however, there’s still room for improvement in understanding deeper context.
What is Rovo?
Rovo is a separately licensed chatbot that connects Atlassian products like Jira and Confluence with other tools, making them accessible via natural language. It acts as an internal AI assistant – similar to ChatGPT, but with direct access to context-specific company data.
Examples of Rovo features:
Find tickets, summarize content, or trigger actions (e.g., create a ticket or combine information from various sources)
Assist with evaluation and analysis of issues based on labels, estimates, and actual time spent
Access Jira and Confluence data while respecting user permissions
Additional capabilities:
Rovo Connectors for third-party services like SharePoint, Notion, Outlook, Teams, Miro, OneDrive, GitLab, and many more
Rovo Agents: Predefined automations (e.g., a “Readiness Checker” for Jira tickets)
During a practical example analyzing a project week, we demonstrated that Rovo can identify relevant data – but currently still struggles with accurate visualization and interpreting complex contexts.
Our Conclusion: The approach is promising, and the integration is well done – but Rovo is not yet on the same level as modern AI platforms in practice. Especially in complex scenarios, the AI often fails to fully grasp context or provide precise results. That said, the direction is clear, and we firmly believe that these capabilities will become standard tools in the mid- to long term.
The next event is already in the works. If you’re interested in joining, contributing, or just stopping by, you can find more information here:
👉 Join the Atlassian Community Karlsruhe
