Teams | Collaboration | Customer Service | Project Management

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.

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.

Strengthening your team’s performance doesn’t have to mean a complete overhaul of your rituals and tools. A little consistency – in how you collaborate, connect knowledge across projects, and bring people together around shared goals – goes a long way. If your team is busy but still feels a little scattered, try this series of five micro-challenges over the course of a week. Each day has a distinct focus designed to help your team move faster, work smarter, and stay connected.

Teams are rarely hurting for good ideas for products, campaigns, and initiatives. But they do lack visibility into what’s already been done. These habits can help.

Monthly insights into human-AI collaboration – and how to make it work for your teams.

Inside the 90% spike in AI usage that followed one live demo – and what other leaders can learn from it.