Teams | Collaboration | Customer Service | Project Management

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.

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.

Picture the scene: You’ve returned from a wonderful holiday break, invigorated to tackle ambitious projects, and then it hits you. Maybe it’s pinned to your Jira board, or taking up a tab in Confluence. It’s that one project that won’t go away. Its status hasn’t updated in three weeks. The Slack channel for the project is silent.

Learn how to turn your newfound free time into opportunities for growth, connection, and innovation.

Get your team aligned on the who, what, when, where, and why of using AI.

One person’s knowledge isn’t enough to execute the work that really matters. Even your team can’t go it alone. To make great things happen, your entire organization must pool their cognitive resources. Sharing knowledge improves innovation, creativity, and productivity for everyone. Without it, information gets trapped within departments, teams, and individuals’ brains (the dreaded silos).

When teams learn by doing, AI stops feeling abstract and starts driving real behavior change, from higher usage to stronger everyday skills.