Teams | Collaboration | Customer Service | Project Management

AI is everywhere. It drafts emails, summarizes meetings, analyzes data, and writes a first pass of project briefs. On an individual level, it’s working. In our research at Atlassian, we found that knowledge workers say AI is helping them save 76 minutes per day. That’s the shallow end – useful, energizing, and a good way to build momentum.

Introducing Remix with Rovo and partner agents in Confluence — a new way to instantly transform Confluence pages into charts, prototypes, presentations, and apps.

The AI productivity paradox is real. Here’s how to turn AI busywork into real impact.

Rovo Dev code reviewer reviews your pull requests (PR), proactively catching quality, security, and performance issues early while recommending best practices for code quality and maintainability. Recognized by ICSE 2026, code reviewer is observed to reduce 30.8%of the PR cycle time.

If you’re a PM or PMM, your research cycle probably looks something like this: We recently ran this entire cycle completely asynchronously in a single afternoon, and ended up with an interactive, stakeholder-ready research report. It was all about changing how we spent our time and seeing what actually changes when AI is part of the whole research workflow, from raw interviews to a report that stakeholders will read and trust.

Classic ROI math is linear—but AI value compounds. Here’s how to measure enterprise AI ROI over time.

The real advantage of using AI comes from teaming up, not just speeding up.

The story of AI at work is often told in big, sweeping terms: platforms, transformations, enterprise rollouts. Those things matter. But day to day, what actually shapes behavior is what teams talk about regularly. So instead of launching yet another AI program, Atlassian’s Teamwork Lab gave an AI upgrade to a ritual we already had: retrospectives.

All work has a purpose. Companies don’t build things for fun (even if we have fun doing it, sometimes). But that purpose doesn’t have to be a world-changing mission. Put simply, it’s the outcome you’re trying to achieve – in five years, next quarter, or by the end of this week. The hard part is staying connected that purpose. But it is possible, and it’ll make your whole team not just more productive, but more empowered and fulfilled.

At World Summit AI on October 9th, Rachel Shepard shared how Atlassian tackled this challenge by rethinking the presentation of ‘agents’ in AI design. Rachel, an AI design leader at Atlassian, shares a recent case study from a cross-functional design sprint that explores how we should introduce agents to users and why the team moved away from agent-focused UX in favor of simpler, composable Skills. Rachel brings deep experience in AI platform design and responsible AI frameworks.