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Teamwork Graph

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Headlines · 3

  1. 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.

    The Next Web · 🔥 0
  2. Atlassian unveils Agentic Multiplayer Protocol, Rovo Work and Loom prompts

    At Team '26 Europe, Atlassian announced the Agentic Multiplayer Protocol (AMP), which gives AI agents an admin-assigned identity, authority and scope so they can work alongside humans in shared tasks and context. It also introduced Rovo Work for long-horizon, multi-step tasks that humans review and approve, and pitched Loom as a way to turn narrated screen recordings into agent prompts. For developers, Rovo Code Search brings source code into the Teamwork Graph and Data Context extends to Databricks, Snowflake and BigQuery; the company says its expanded MCP server exposes 200 tools and handles roughly 15 million tool calls a day.

    SiliconANGLE AI · 🔥 0
  3. Atlassian and OpenAI Expand Enterprise AI Partnership

    Atlassian and OpenAI are expanding their partnership, with OpenAI frontier models powering agents across Atlassian’s platform and Rovo. The agreement also expands Atlassian’s access to models including GPT-6 Astra and the GPT-5.6 series, while connecting ChatGPT and Codex to Atlassian work data through plugins and the Teamwork Graph.

    OpenAI · 🔥 0

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