AI at Work
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 […]
Why the real AI advantage is organizational system design
Today, the industry celebrates developers for shipping code at unprecedented speed. They are doing this while code-completion tools generate syntax faster than anyone can read and review. Many of us look at this explosion and think we have fundamentally solved the hardest part of software engineering. But I see things a bit differently. In reality, […]
AI Team Microlearning
Turn solo AI tinkering into a shared team ritual. These short, low-stakes AI experiments during team meetings help everyone boost confidence, share what works, and turn the best ideas into team‑wide ways of working.
Introducing CAFE(S): A framework for defining AI context quality
Five durable properties for evaluating the context we hand to AI agents.
Don’t outsource the spark: how to balance human thinking and AI
AI jump-starts speed, but human friction sparks the ownership, peer collaboration, and genuine originality teams need to thrive.