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Jira Update: AI Agents Now Collaborate With Humans

▼ Summary

– Atlassian has launched “agents in Jira,” a new feature allowing users to assign and manage tasks for AI agents within the same project management dashboard used for human employees.
– The feature enables enterprises to delegate work, set deadlines, and track progress for AI agents just as they would for people, and can integrate agents into ongoing projects.
– A key goal is to provide equal visibility into the work performed by AI agents and human workers, aiming to coordinate their collaboration and reduce potential chaos.
– Atlassian believes centralizing this management in a single dashboard is crucial to preventing AI automation from inadvertently creating more work and disorder for teams.
– This update is an initial step in Atlassian’s broader plan to integrate AI tools into its existing software products to enhance productivity within established workflows.

Atlassian is introducing a significant evolution for its flagship project management platform, Jira, with a new feature designed to integrate artificial intelligence directly into team workflows. The company’s latest update, called “agents in Jira,” enables users to assign and manage tasks for AI agents from the same dashboard they use for human team members. This move aims to help organizations dramatically increase output without a corresponding spike in operational disorder, a concept Atlassian frames as achieving “10x the work without 10x the chaos.” The feature is currently available in an open beta, allowing teams to experiment with this new layer of digital collaboration.

The core idea is to grant managers and team leads complete visibility into automated work. Project leads can now delegate specific tickets or assignments to AI agents, set deadlines, and monitor progress metrics, all within the familiar Jira interface. This seamless integration is crucial, according to Atlassian’s leadership. Tamar Yehoshua, the company’s chief product and AI officer, emphasizes that simply providing more automation tools often creates additional administrative burdens rather than reducing them. The strategic decision to house both human and agent activity on a single dashboard is intended to bring order to what could otherwise become a fragmented process.

Yehoshua points out a common industry challenge: the proliferation of AI agents can inadvertently generate more work and complexity for human teams. Atlassian believes its expertise in collaboration software positions it to solve this problem by structuring how humans and machines work in tandem. “What we’re really good at is putting order to that chaos,” Yehoshua stated. This approach allows enterprises to practically assess the return on investment from their AI tools by directly comparing the performance and output of agents versus human employees on identical projects.

This development represents more than a single product update; it signals Atlassian’s broader commitment to weaving AI capabilities throughout its software ecosystem. The “agents in Jira” feature is described as an initial, foundational step in a longer journey. The ultimate objective is to enhance human productivity by making AI a natural and manageable component of existing workflows. For organizations navigating the practical adoption of AI, this tool offers a concrete method to experiment with task delegation, identify processes best suited for automation, and determine which functions should remain under human guidance.

(Source: TechCrunch)

Topics

Human-AI Collaboration 95% ai agents 95% project management 90% enterprise software 85% Productivity enhancement 80% work automation 80% product updates 75% task coordination 75% workflow integration 70% software dashboard 70%