Atlassian details its enterprise AI adoption strategy
Atlassian is using team working agreements, role-based AI wallets and designated AI “super users” to encourage workplace adoption, Chief People and AI Enablement Officer Avani Prabhakar told The Next Web. She said one “super user” in a team of five to seven raises team AI usage by 56%, while directing Claude to search Atlassian’s Teamwork Graph cut token use by 48% and raised accuracy by 44%. Prabhakar also criticized performance-linked AI mandates as a “very bad start” because they encourage employees to game the system.
Atlassian’s combination of usage limits, team rules and internal context tools provides a concrete enterprise framework for managing AI adoption, governance and costs.
One AI “super user” in a team of five to seven people lifts the whole team’s AI adoption and usage by 56%, Atlassian’s Avani Prabhakar told TNW. Atlassian counts someone as a super user if they use AI’s most sophisticated features more than 40 times a week to change a workflow, she said. It tracks who they are.