Teams | Collaboration | Customer Service | Project Management

Atlassian Teamwork Graph: The context engine behind your AI-everywhere

AI agents are only as good as what they know. Right now, most don’t know enough. Not because the AI is broken, but because the data is. Information is scattered across tools, siloed by department, stripped of the human context that makes it useful. Agents guess. They hallucinate. Teams splinter around different versions of the truth. Context isn’t a file or a ticket. It’s the space in between: why a decision was made, who owns it now, what broke last time.

The bottleneck keeps shifting: What AI is changing about how we build

Over the past few decades in the technology industry, some of the biggest constraints to building products have been about having enough engineers, time, or compute. For the first time, that era is ending. Tech teams are experiencing a revolution unlike anything they’ve seen before. The barriers to entry for building have all but disappeared. The constraint no longer comes from producing enough output, but from deciding what to build, and the restraint required to build something good.

What CIOs told Forrester about building an AIready digital workplace

The way organizations work is being fundamentally reshaped by AI, evolving technologies, and macroeconomics. And IT leaders are not just responding to this change; they’re defining the strategic direction for how their organizations work. A new commissioned study conducted by Forrester Consulting on behalf of Atlassian, surveying 280 IT leaders globally (44% Directors, 56% VPs and CIOs), revealed a decisive shift in how enterprises are approaching their digital workplace. The mandate is clear.

Introducing agents in Jira | Atlassian

Ready to put AI to work for you? Introducing agents in Jira, now in beta. Assign agents to work, tag them in comments for help, and bring them into your workflows, right where your team is already collaborating. 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.

Beyond the Jira board: how autonomous workflows unlock engineering velocity

Engineering teams today are shipping more than ever. Sprint boards move quickly, work items are completed on schedule, and releases move forward with steady momentum. As engineering output scales, so does the time spent across the broader software development lifecycle (SDLC). Jira continues to play a critical role as the system for organizing, tracking, and delivering work.

Atlassian's journey to become an AI-native organization

The future of work at Atlassian isn't about using AI as a tool—it's about AI becoming part of how every team thinks, decides, and delivers. Our journey to becoming an AI-native organization is built on two pillars: the leaders who champion change and the workflows where AI is woven into how work gets done. See how our People, Product, and Marketing teams are using Rovo and the Atlassian System of Work to build our internal blueprint for an AI-native culture.

Rovo Dev for learning | Rovo Dev | Atlassian

Join Jovana, a Senior Technical Evangelist at Atlassian, and Nick, a Senior Systems Engineer at Atlassian, as they demonstrate how Rovo Dev can be used to accelerate technical learning and automate complex engineering tasks. Key Highlights: 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.

Atlassian research: Your strategy isn't broken. Your organization just can't move.

New research with 308 senior enterprise leaders reveals a counterintuitive finding: the problem isn’t strategic clarity, and it isn’t how often you plan. It’s whether your organization is actually able to act when strategy demands a change.

Elena Verna on AI growth: Automate the basics, elevate the creative

When Elena Verna joined Lovable, an AI-native startup, she wasn’t chasing another growth role. “I actually wanted to retire before I hit Lovable,” she admits. After leading growth at Dropbox, SurveyMonkey, Miro, and Amplitude, she’d seen the same patterns play out again and again. “I couldn’t do another gig where I felt like I’m doing growth 101. Onboarding flows, lifecycle emails, A/B tests.

Run with Rovo Dev in bulk | Rovo Dev | Atlassian

In this video, we show how Rovo Dev lets you run multiple AI coding sessions in parallel, so a whole batch of Jira issues can move forward while you work on something else: 7 tickets. Zero context switching. This is Run with Rovo Dev in Bulk: scale your impact by letting the agent handle the repetitive work across your entire backlog.