AI at Work
Supercharge the Teamwork Graph with People Context
Every piece of work your teams do has people behind it. The Jira issue has an assignee. The design doc has an author. The pull request has reviewers, and the Slack thread has the people deciding what happens next. The Teamwork Graph already connects that work across Atlassian and the tools you connect to it. […]
AI was supposed to take on the drudgery. Workers say it’s taking on the good stuff, too.
New Teamwork Lab research finds AI users are handing off as much of the work they enjoy as the work they don’t
Measuring and orchestrating AI across the full engineering lifecycle
A measurement guide for engineering organizations looking to turn widespread AI adoption into faster delivery and resilient system capacity across the full lifecycle.
Tackling agent sprawl across the enterprise
Learn to securely scale AI agents without risk. Master governance strategies and permission controls to prevent enterprise agent sprawl.
AI workslop is a standards problem
It’s easy to blame AI for workslop proliferation. But a quick conversation about standards can easily and systemically fix the problem.
AI is exposing the missing layer in strategic planning
AI is making teams faster, but not organizations. The gap is a missing layer: governed work context that turns a change in strategy into a change in what happens next. AI is making teams faster but that doesn’t necessarily mean it is making organizations faster. That distinction matters. In a recent 451 Research survey, 88% […]
Showing what you mean in the age of AI
With the new Loom for Mac, Record for agent, and MCP tools, teams can now hand off work to AI agents the same way they do to teammates: by showing the work, with every detail captured. Explaining an idea clearly enough for someone else to act on used to be one of the slowest parts […]
Say yes to AI context without losing control
It’s 9:12 on a Monday, and Maya has a decision to make Maya runs IT for Beaconstone Financial, a fintech company with 2,000 employees. Her engineering teams work in Jira and GitHub. Sales lives in Salesforce. Most decisions happen in Slack threads, Google Docs, and SharePoint folders that nobody can find six months later. Leadership […]
How to use AI to plan a team offsite that works
In-person gatherings are high-effort and high-stakes. Planning one is an ideal use case for an AI agent.
The smartest way to cut AI costs isn’t to use less AI
A survey of 1,000+ knowledge workers shows AI’s true costs are coming into focus. The takeaway for leaders: the path to lower spend runs through better context, visibility, and tool choice, not tighter limits.
Turn Slack conversations into connected context with Teamwork Graph
Great teams move quickly, and critical decisions happen where conversations flow naturally. Decisions live in Slack: the thread where engineering explains a trade-off, the conversation where a launch go/no-go call gets made, the risk or bug someone flags before it makes its way into the project plan or Jira board, or the quick exchange that […]
Building better, together
AI lets you build faster, but speed can pull the work apart. Here are five practical moves to keep your team, decisions, and quality connected from the first prompt all the way to production.
How The Browser Company moves so fast: 3 habits you can borrow
Atlassian’s Teamwork Lab went inside the startup behind Dia and Arc to learn how it keeps AI speed from getting trapped in slow systems.
Atlassian’s Chief Product & AI Officer on why your PM job just expanded
What does the “AI builder” era look like for product managers inside a large company? At the Lenny and Friends Summit, Atlassian’s Chief Product & AI Officer, Tamar Yehoshua, shares examples from Confluence, a new product, and Jira to show how PMs can help teams move faster. She explains when it makes sense for PMs […]
The AI SDLC transformation playbook
Teams across the industry are sprinting to reinvent their software development processes with agentic AI. Yet, navigating the fast-changing landscape of tools and opinions can be daunting for even the most AI-forward organizations. This guide shares Atlassian’s approach and best practices, informed by our own internal AI SDLC transformation and collaborative learnings from top engineering […]