Teams | Collaboration | Customer Service | Project Management

How Atlassian and Dropbox are driving effective AI transformation

Adopting AI technology without an effective strategy is costing the Fortune 500 an estimated $161 billion a year.* Enterprises are making big investments in this space but are struggling to realise the returns. We know the technology is designed to make businesses more efficient, but we’re still seeing the opposite because most businesses are treating AI as purely a technology transformation. That’s where they get stuck.

Atlassian's guidelines for writing with AI

AI is a helpful tool but, without guardrails, its writing can fall flat. We joke about AI tells like em-dash overuse and “it’s not X, it’s Y,” but issues with over-reliance on AI writing go deeper. On Atlassian’s Brand team, these areas are top of mind. We want to move fast with AI but still put out content that is useful, fun to read, and trustworthy.

HR in the age of abundant intelligence - what we believe

We believe this is a once-in-a-career moment for the HR craft. If we get this right, HR practitioners will spend less time on administrative coordination and more time on the work that drew most of us to this field: landing the right person in the right role, helping a manager lead a team through a crisis, coaching someone who is struggling into confidence and performance, resolving a conflict before trust breaks, designing an org structure that unlocks something a leader thought was impossible.

Cursor is now connected to Jira | Atlassian

Cursor is now connected to Jira. Open a work item, choose Cursor from the Agents dropdown, and it automatically infers the right repository - no manual setup needed. Cursor reads the ticket context, makes the code changes, and raises a pull request in your connected repo, fully linked back to Jira. No terminal, no context switching. Watch to see how your Jira tickets can drive your code automatically.

Kraken: From knowledge to action with Rovo Skills | Team '26 | Atlassian

Rovo Skills, agents, and automation can turn hours of manual work into seconds and Kraken's 30,000 monthly executions prove it's already working. In this Team '26 session, Atlassian and Kraken show how any team can encode their custom workflows into reusable Rovo Skills, compose them into agents, and automate them end-to-end — all powered by the Atlassian Teamwork Graph. From security question resolution dropping from 4 hours to 12 minutes, to faster performance review cycles, see what's possible when AI learns how your team actually works.

Three ways Atlassian's Learning Team uses AI, and one way they won't

The best way to get value out of AI is to scale at the team level, but while 85% of workers use AI, only 29% have embedded it into team workflows. The Atlassian Learning Team is in that 29%, and the lessons they’ve learned are a model for teams of all types. They shared three ways teams can start becoming AI native today. The Atlassian Learning Team helps Atlassian app users build skills and confidence with free on-demand courses, dynamic live team training, and app adoption guides for teams.

Introducing Claude Agent for Jira

Built on Anthropic’s Claude Managed Agents infrastructure, Claude Agent for Jira lets you assign work items directly to Claude. Your agent’s work now sits in Jira alongside everything else: tracked in your project, visible in workflows, and connected to the goals it’s helping ship. The agent automatically processes the work item context, implements the required changes in a secure sandbox, and opens a draft pull request for your review.

Atlassian named a 4x Leader in the 2026 Gartner Magic Quadrant for DevSecOps Platforms

Today, Gartner named Atlassian a Leader in the 2026 Magic Quadrant for DevSecOps Platforms, and placed us highest in execution. It’s our fourth consecutive year as a Leader across the Gartner DevOps and DevSecOps research – a category that has changed underneath all of us as security shifted from a downstream checkpoint to a first-class concern in every team’s delivery loop. This one matters to me for a specific reason: it validates a bet we made four years ago.

Meet the Knowledge Architect: The Role Every AI-First Organization Will Need Soon

While most enterprises are talking about how they approach AI transformation, increasingly knowledge management and arranging the required context are important factors in whether or not AI can work effectively. This shift is creating demand for a new role called the Knowledge Architect. We have Systems Architects to design the overall structure of software and hardware systems. Knowledge workers execute on work across different functions like Sales, Marketing and Engineering to achieve business goals.

Zero to hero: Building Rovo Agents

Building high-impact AI agents is a skill any team can master – no coding required. In this session, we break down the exact steps for creating effective AI agents that transform everyday workflows, from identifying the right automation opportunities to designing seamless user experiences. Join Shihab Hamid (Head of Product, Atlassian) and Sushant Koshy (Senior Product Manager, Atlassian) as they share industry best practices for Rovo Studio.

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.

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.

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.

From alert noise to action: How 24 Hour Fitness transformed IT operations with Jira Service Management and Rovo Ops

How a modernized IT Ops team cut alert noise, slashed ITSM costs by 37%, and built a fully connected Ops platform that traces change and reclaims on-call sanity. The learnings in this blog post are based on the session, “From alert noise to action: How 24 Hour Fitness modernized IT Ops with Jira Service Management”, presented at Atlassian’s Team ’26 conference. You can check out this session and others on demand.