How Atlassian Frames Teamwork for a Distributed Future

# Summary Atlassian argues that modern teamwork needs intentionally designed practices and tooling to work at scale. The company frames its approach around a permanent distributed-work policy, high-volume asynchronous communication, a formal System of Work that links business and engineering teams, and a fast product rhythm that includes AI features. Those elements together are presented as the reason Atlassian made Fortune's Future 50 list.

# Why this matters Atlassian cites its State of Teams research: Fortune 500 companies lose 25 billion work hours a year because collaboration is ineffective. The same research finds 93% of executives believe teams could produce the same results in half the time with better collaboration. That gap is what Atlassian is targeting through both internal practices and product features.

# Concrete practices Atlassian highlights

• Team Anywhere: Since 2020 Atlassian made distributed work permanent for employees, letting people choose where they do their best work and enabling hiring beyond office footprints. The policy serves as a real-world lab for designing solutions for distributed teams.
• Async communication with Loom: Atlassian reports creating 14,000 Loom videos monthly to share updates and keep people aligned without synchronous meetings.
• System of Work: A deliberate approach that focuses on connecting business teams and tech teams to align work to goals, plan effectively, and reduce knowledge silos.
• Product-speed and AI: Atlassian emphasizes a rapid R&D cadence. It shipped Rovo, a standalone AI product, in five months and promotes AI features meant to deliver practical benefits for teamwork.

# What they claim customers get Atlassian positions its platform and portfolio as tools that help organizations implement the System of Work: aligning teams, planning work, and breaking down silos to improve speed and impact. The underlying claim is practical: better structures and tooling can reduce time wasted on poor collaboration and improve outcomes.

# What to watch for

• How Team Anywhere affects long-term hiring, onboarding, and cross-time-zone collaboration practices.
• Whether heavy async practices (e.g., thousands of Looms) scale without new coordination overhead.
• How quickly customers adopt AI features and whether those features measurably reduce collaboration time or just add new artifacts.

# Bottom line Atlassian ties a permanent distributed-work policy, large-scale async communication, a codified System of Work, and rapid product delivery into a single narrative: teamwork at scale requires design and tooling, not loose expectations. The company's research number (25 billion lost hours) and executive expectation (93% could halve time with better collaboration) are the problem statements motivating that approach.