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AI Literacy Guide: A practical approach for teams
Atlassian's AI Literacy Guide gives teams a practical, four-step framework — Learn, Explore, Play, Share — to confidently adopt AI, reduce misuse risk, and turn individual experiments into shared organizational knowledge.
Executive summary
Without a shared understanding of how AI tools work, teams underuse them, misuse them, or avoid them entirely. The result: stalled adoption, inconsistent outputs, and increased risk.
This guide reframes AI literacy as a continuous, team-wide practice — not a one-time training. It introduces a framework based on Atlassian’s own internal learnings that helps leaders and teams build the confidence needed to use AI responsibly and effectively, no matter their role. This four-step loop (Learn, Explore, Play, and Share) will help teams not only build AI literacy for individual teams, but build an organization-wide muscle for more value-driven AI adoption.
Key takeaways
A repeatable four-step framework: How to move from foundational learning to structured experimentation to sustain a culture of AI knowledge-sharing, without overwhelming your teams.
Context-aware literacy: Why understanding the system, data, and role behind every AI interaction is the key to better decisions, fewer errors, and stronger governance.
From individual speed to organizational trust: How to close the gap between personal productivity gains and enterprise-wide responsible AI practices that scale with your organization.