Atlassian has announced a major upgrade to its collaboration platform, Confluence, introducing AI agent capabilities designed to automate the transformation of written notes into visual content and software applications.
The product is currently in limited beta. An Atlassian spokesperson stated that the move is intended to reduce the burden on IT teams handling custom requests while mitigating security risks, as all AI processing occurs using data internal to the Confluence platform.
AI Agents to Enhance Collaboration
At the heart of this update is the "Remix with Rovo" feature. Rovo, Atlassian’s AI assistant, allows users to convert static documents, tables, or unstructured data into specific workflows or formats without needing to leave Confluence or submit a support ticket.
"Our data shows that Confluence pages containing visual elements are nearly twice as likely to be widely read compared to text-only pages," an Atlassian spokesperson noted in an interview.
While the tool’s functionality is similar to Google’s NotebookLM, Atlassian is emphasizing its "workspace-native" advantage. The company spokesperson explained that while NotebookLM often operates in a vacuum when performing multimodal conversions, Remix can directly access page permissions, organizational structures, and team history, ensuring that the generated output remains connected to the source data in real time.
This collaborative model means that AI-generated outputs are not isolated documents, but dynamic assets that support comments, mentions, and real-time editing. The entire team can access and maintain these results within the same environment.
Beyond document conversion, Atlassian has partnered with vendors such as Lovable, Replit, and Gamma to leverage AI to turn project requirement documents or strategy notes directly into software applications, prototypes, or presentations. The company stated that it plans to integrate more agent providers in the future to further streamline the process from ideation to execution.
Atlassian emphasized that this upgrade is not intended to turn Confluence into a factory, but rather to allow teams to flexibly convert knowledge into whatever format is needed for a given scenario, all while ensuring that source data and results remain perfectly aligned.
