On March 11, Team on Tour Sydney brought the global Atlassian community back to the city where ServiceRocket first took flight. The ICC was packed with executives from tech‑forward enterprises, exploring the latest Atlassian innovations and the challenges facing modern teams.

On the ground, Rocketeers kept hearing the same thing: enterprises have a strategy, but lack visibility into progress. And in 2026, the question is no longer “What can AI do?” but “How do we make Atlassian Rovo AI actually work in our enterprise?”

Atlassian has introduced several key improvements to help leaders close that gap:

Opportunity: Turning strategy into executable work

• Atlassian Focus (Strategy Collection) – Bridging the gap between strategy and execution by connecting high-level strategy (OKRs/Funding) and ground-level execution (Jira tickets).
• Assets – Track physical or digital business objects. Previously exclusive Jira Service Management (JSM), Assets is now available on the platform globally.  
• Talent – Get visibility of your workforce capacity by identifying hiring gaps and ensuring the right talent is assigned to the right projects.
• Teams and Goals apps are now embedded into Confluence and Jira, so they can be referenced anywhere.
• Teams app can now connect to HR systems to automatically build organizational charts.

Opportunity: Turning Rovo AI into a teammate

• Rovo Dev: It runs in the IDE and CLI, keeping developers in flow by taking care of repetitive tasks.
• Rovo Desktop: Connect local files (like Excel sheets or PDFs on their hard drive) to the Teamwork Graph, making local knowledge searchable and actionable by AI.
• Rovo Standalone: Rovo for everyone. Enterprise members without the right licences can still access Atlassian’s intelligence.
• Rovo Studio: Build fully functional Forge apps using only natural language prompts, requiring zero code.  
• Assign Rovo AI agents directly to Jira issues: AI becomes an explicit assignee/contributor on work items.
• Rovo Chat introduced Personal Memory, allowing the AI to learn from past conversations and remember individual user preferences, such as communication styles and formatting choices.
• Users can now assign Rovo AI agents directly to Jira work items.
• Customer Service Management (CSM): An AI-powered solution that connects support teams with internal teams and bridges the gap between external customer feedback with internal dev teams. Its "rich handoffs" ensure customer insights flow directly into the Jira backlog with full context. This reduces the back and forth between Support and Engineering departments.    

Opportunity: Adopting AI safely at enterprise scale

• Atlassian Isolated Cloud: Enterprises in regulated industries can now innovate in a secure, AI-powered environment in a single-tenant cloud environment.
• With over 50 app connectors available, enterprises can integrate external apps such as Hubspot, Google Drive and OneDrive with Teamwork Graph and bring external data into the knowledge base.    

The 'secret sauce' of turning Rovo AI into a teammate

Atlassian experts shared three essential habits enterprises need to adopt to achieve measurable ROI with AI:

• Making knowledge accessible by putting "organisational memory" right at everyone’s fingertips.
• Embedding AI into workflows so that insights are available exactly where people are already working.
• Creating customized workflows that are specifically tailored to how teams genuinely operate.

The key takeaway from Team on Tour 2026: to turn Atlassian Rovo AI into a teammate, enterprises must implement a unified System of Work. However, thoughtful implementation and change management is also essential.

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