Atlassian's CEO Mike Cannon-Brookes introduced the Teamwork Graph, a comprehensive network mapping over 150 billion connections, at the recent Atlassian Team event. This innovation highlights the growing importance of context in driving AI-native teamwork within enterprises.
- Teamwork Graph maps 150+ billion organizational connections
- Context is deemed the fuel powering AI enterprise advantage
- Agentic AI tools like NORA broaden automation beyond engineers
What happened
Atlassian’s CEO Mike Cannon-Brookes showcased the Teamwork Graph, a platform that consolidates organizational relationships and work data into a unified network of over 150 billion connections. This graph serves as the foundation for Atlassian’s evolving AI-native teamwork strategy, emphasizing the seamless integration of human and artificial intelligence within enterprise workflows.
The event also introduced Atlassian’s AI Gateway, designed to unify internal and external AI models, making it easier for organizations to engage with AI technologies. A notable example presented was the onboarding assistant NORA, developed by HR staff, which demonstrates how AI automation is becoming accessible beyond development teams.
Why it matters
Atlassian is positioning context, rather than pure computational power, as the critical factor for unlocking AI’s potential in the workplace. The Teamwork Graph acts as connective tissue linking diverse knowledge assets, helping businesses navigate complexity with a nervous system optimized for AI-native operations.
This shift reflects broader trends within enterprises where AI adoption remains high, with 85% of knowledge workers using AI, yet only 29% have fully embedded AI into their workflows. Atlassian aims to close this gap, enabling organizations to move from experimentation to effective AI integration that transforms collaboration and productivity.
What to watch next
The rapid evolution of AI-native teamwork will unfold over the next year, with early signals indicating an expansion of innovative use cases currently unforeseen. Atlassian’s openness to combining multiple AI models and its focus on contextual understanding could accelerate this trend, potentially reshaping how enterprises compete and collaborate.
Enterprises should monitor how Atlassian’s AI Gateway and agentic AI applications like NORA scale and influence adoption across non-technical departments. The company’s emphasis on context as the fuel for intelligence may also spark new frameworks and toolsets that extend AI capabilities deeper into everyday work.