The AI police arrive in August. Is your company ready?
States, countries, and the EU have been developing AI regulations—this summer they begin enforcement.
Teams | Collaboration | Customer Service | Project Management
Collaborating To Help Teams Work Better In The Modern Workplace
How We Cut up to 80% of Engineering "Chores" Using AI Agents in Jira
Our Jira engineering team was spending more time than we’d like focused on KTLO (keeping the lights on) tasks – the small, but important maintenance tasks nobody wants to spend time on. This includes work like cleaning up old feature flags, chasing flaky tests, fixing identified vulnerabilities, addressing accessibility issues, and chipping away at a long tail of bugs.
Stop counting who uses AI. Start finding who's transforming with it.
Over the last two years, every people leader I know has been chasing the same number: what percent of our employees are using AI? It’s the wrong metric. At Atlassian, we learned this through firsthand experience. We’ve gone through three evolutions of how we measure employee AI adoption, and each time we changed the metrics we learned something telling about what the old numbers were hiding. Those shifts have changed how we hire, develop, and bet on talent.
Workforce Analytics for IT and Software Services Explained
Discover how technology and ops leaders use workforce analytics for IT and software services. Learn tips to protect focus time and improve service delivery.
Rovo for Microsoft Teams
See how Atlassian Rovo for Microsoft 365 Copilot and Teams connect people, work, and your organization’s knowledge across Jira, Confluence, SharePoint, and more—without leaving Teams. In this quick demo, we’ll show how you can search across tools, take action on work, and get the right context at the right time. About Atlassian: Behind every great human achievement, there is a team. From medicine and space travel to disaster response and pizza deliveries, we help teams all over the planet advance humanity through the power of software. Our mission is to help unleash the potential of every team.
Streamline vendor risk management with Asana AI: From intake to audit readiness
Manual vendor risk management is a recipe for chaos. When intake forms, security reviews, and compliance follow-ups are scattered across spreadsheets and inboxes, critical details slip through the cracks. In this demo, see how Asana’s human + AI coordination platform centralizes the entire vendor lifecycle. You’ll learn how to: Stop chasing status updates and start scaling your vendor risk process with confidence.
Why manager enablement is key to successful AI initiatives
Today’s workplace is currently defined by a paradox of progress. We are deploying the most sophisticated productivity tools in human history, yet the people expected to lead this transformation are more disconnected than ever. Organizations are pouring billions into AI, but they are often neglecting the most critical node in the system: the manager.
The future of product craft: Why AI-native PMs build better products, not just work faster
AI use is accelerating across the modern enterprise. Teams are moving faster. The barrier to building will continue to drop. But the cost of building the wrong thing is about to skyrocket, because teams can now ship more of it, faster. Atlassian’s State of Teams 2026 report found that 89% of executives say AI has increased the speed of work. But only 6% feel confident they can point to specific organisation-wide AI ROI.
Atlassian Design System: Building the context engine for the AI era
Maria Christley is the Head of Design for the Atlassian Design System, leading over 35 designers globally across Design Language, Accessibility, Systems Architecture, and AI. She is a 2025 Women Leading Tech finalist and has spoken at Figma Config and UX Australia. Rachel Radford is a Design Manager on the Atlassian Design System team, where she leads designers working on the systems, components, and practices that power Atlassian’s products at scale.
How AI is Changing Developer Workflows: Lessons From Engineers
I sat down with engineers who use AI coding agents for the vast majority of their implementation work. Stack Overflow’s 2025 Developer Survey found 84% of developers using AI agents for software development are using them for actual implementation work, so I wanted to understand what that looks like up close. What I heard reshaped how I think about where developer tools need to go next.