Teams | Collaboration | Customer Service | Project Management

3 ways AI alert grouping is transforming on-call engineering at Atlassian

At Atlassian, on-call engineers live at the intersection of urgency and uncertainty. Floods of noisy alerts sap focus, energy, and productivity — especially when responders must decide what matters, what can wait, and what’s just noise. A single underlying issue can trigger dozens of near‑identical alerts in hours.

How customers are using Confluence Agents to turn knowledge into action

Since we first launched custom agents in May of 2024, we’ve seen teams use Rovo to build agents in Confluence that help them accomplish everything from turning customer feedback into PRDs to maintaining consistency across large sets of data and processes. And agents are getting even more popular, with over 5M invocations of agents every month. They take the foundation of knowledge that lives in Confluence, and act on it, saving customers over 200K hours in February alone.

Highlights: Where does your chain break? Strategy that lives in boardrooms and PowerPoints

Stop losing millions to disconnected work. Learn how to build a unified system of work using the Atlassian stack to align engineering execution with executive strategy. When engineering teams lack a unified system, they often chase the wrong priorities or duplicate efforts, leading to execution drift and lower morale. In this session, Natalia Baryshnikova (Atlassian) and Vince Butera (Anaplan) share how to move beyond a collection of tools to create a single, connected platform using Jira, Jira Align, Compass, Confluence, and Rovo.

Highlights: Where does your chain break? Strategy that lives in boardrooms and PowerPoints

"Stop losing millions to disconnected work. Learn how to build a unified system of work using the Atlassian stack to align engineering execution with executive strategy. When engineering teams lack a unified system, they often chase the wrong priorities or duplicate efforts, leading to execution drift and lower morale. In this session, Natalia Baryshnikova (Atlassian) and Vince Butera (Anaplan) share how to move beyond a collection of tools to create a single, connected platform using Jira, Jira Align, Compass, Confluence, and Rovo.

Rovo makes AI-native teamwork real for the enterprise

Teams of all stripes have run billions of cross‑functional, multi‑tool workflows on Atlassian. After decades spent helping them plan, build, ship, and do, those same workflows are now lighting up with millions of agentic automations, up 7x in the last six months alone. All signals point to the rise of the AI‑native organization, where humans operate at critical junctures, deciding what matters and why, and agents do more of the execution.

Built for the Next Era of Teamwork: What's New in Teamwork Collection

We’ve all been there – toggling between six tabs, copying content from one tool into another, and wondering if anyone actually read the brief. The promise of AI was supposed to fix this. Instead, most teams got a chatbot bolted onto the side of their screen. We think AI should work the way a great teammate does: show up where the work happens, understand what’s going on, and actually move things forward. Not from a separate window. Not after a five-paragraph prompt.

Building for AInative engineering: What's new in DX

AI is changing how engineering teams work faster than most organizations can adapt. Coding assistants are now part of the daily workflow, agents are starting to own tasks end-to-end, and the way we deliver software is being redefined in real time. With that shift, engineering leaders are facing a new set of questions. Are these tools actually improving outcomes? Where are they falling short? Which teams are seeing value, and which aren’t?

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.