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Advancing modern teamwork

AI thinking and product news to unleash the potential of teams

Everyone agrees on the priorities. Almost no one can see the money and the work behind them.

Your transformation strategy is only as strong as its alignment with team execution and financial investment. Now you can see portfolio health in real time, intervene before initiatives drift, and tie every request and dollar to the priorities that matter. The latest Strategy Collection innovations bring financial investment, delivery risk, and cross-team demand into one […]

Article in Development

Introducing the AI context engine for your entire codebase

Article in How We Build

3 AI bets powering Atlassian’s integrated marketing impact

Research in AI at Work

Leading with Context: Lessons from Atlassian’s AI Journey

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See our newest AI research

Five domino-like blocks in a row; one standout block topples the rest, illustrating how a single AI superuser sets a team in motion.

Article in AI at Work

You don’t need a team of AI experts. You just need one.

New research from Atlassian’s Teamwork Lab found that adding a single AI superuser made teams more likely to achieve a top score during ShipIt.

A bird's-eye view of a laptop split diagonally into two contrasting color fields — one dark green, one warm yellow — with two hands, one grayscale and one gold-toned, reaching toward the keyboard from opposite sides.

Article in AI at Work

The tech we love to hate is the tech we’d hate to lose

New research from Atlassian’s Teamwork Lab finds that even as knowledge workers are uneasy about AI’s broader impact, they increasingly embrace it at work.

Watch, listen, and learn

Link in Leadership

AI Play/Pause Days

How well does your team know when to use AI and when to trust its own expertise? Run this Play to find out. Spend one workday using AI as much as possible, one workday without it, then compare notes and agree on the habits worth keeping.

Link in Teamwork

The new shape of teamwork: Designing the Human+AI workforce

Wharton professor and leading AI researcher Ethan Mollick, Magnus Östberg, Chief Software Officer at Mercedes‑Benz AG, and Emily Chang, award‑winning tech journalist and television host, explore what’s working now, what’s not, and how successful teams will build with AI toward long-term advantage.

Video in AI at Work Rovo

How KFC Uses AI Agents to Ship Software Faster

KFC’s engineering teams were drowning in release admin — chasing people for risk assessments, impact details, and component info. Not anymore. Now their custom Change Agent (built with Atlassian Rovo) pulls up everything teams need against a release — risk, impact, associated components — instantly. The result? Massively reduced admin time, engineers doing what they […]

Article in AI at Work

Atlassian’s guidelines for writing with AI

How should we use AI to write? 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 […]