Enterprise software giant Atlassian is introducing a new way for humans and AI agents to collaborate. The company hopes this innovation will help teams produce ten times the work without ten times the chaos.
Atlassian announced “agents in Jira” on Wednesday. This update allows users of the project management software Jira to assign and manage work for their digital agents from the same dashboard they use for their human employees. Enterprises can now assign tasks and tickets to AI agents just as they would to people. The system tracks progress, sets deadlines, and monitors other metrics. Users can also loop AI agents into the middle of an existing project. This feature is now available in an open beta.
The update is designed to give users the same visibility into the work their agents are doing as they have for their human employees. Tamar Yehoshua, Atlassian’s new chief product and AI officer, explained that for decades Atlassian has built collaboration software to help people get work done. Now, with agents performing much of that work, coordination between humans and agents is essential.
Yehoshua noted that simply providing more avenues for automation does not automatically mean less work for people. The key part of this update is that all coordination happens within the same dashboard. She addressed a common concern, stating that while many feel these agents are creating more work and chaos, Atlassian’s strength is in bringing order to that chaos.
As enterprises seek a return on investment from AI tools, this unified view could prove highly beneficial. The ability to directly compare the work of agents versus humans on the same project can help companies decide where to deploy agents initially and which tasks should remain under human leadership.
This announcement is just the first of many, according to Yehoshua, as Atlassian plans to increasingly integrate AI tools into its existing software products. The goal is to enable people to work more productively with AI. Yehoshua described this as an important step in a long journey, marking a crucial integration of AI into existing workflows.