Teamwork Graph
An enterprise context layer connecting work elements for AI to understand company operations.
Imagine an AI trying to help you with a project. It needs to know who is working on what, what documents are relevant, and what has already been decided. A teamwork graph builds this understanding by connecting all these pieces of information.
For example, if you ask an AI to summarize progress on a marketing campaign, a teamwork graph would allow it to find all related emails, project management tasks, and design documents, then present a coherent overview. This helps AI understand the full context of your work.
A teamwork graph is an enterprise knowledge graph that models relationships between entities such as people, projects, documents, tasks, and communications within an organization. It serves as a contextual layer for AI systems, enabling them to access and reason over a holistic view of company operations.
This allows AI agents to move beyond simple document retrieval to understanding complex interdependencies, facilitating tasks like project summarization, risk assessment, and resource allocation by providing a structured representation of the enterprise's operational state.
Companies are integrating AI agents with enterprise knowledge bases. This allows AI to understand complex organizational structures and workflows, turning raw data into actionable insights for projects and operations.
- Atlassian and OpenAI expand partnership to turn enterprise knowledge into actionOpenAI · OpenAI News ·
- OpenAI ChatGPT
- OpenAI's partnership with Atlassian leverages the Teamwork Graph to enable AI agents to understand and act on enterprise data.
- Graph Database
- A graph database is a type of NoSQL database that uses graph str
- Organizational Chart
- An org chart shows reporting structures, while a teamwork
The concept of a 'teamwork graph' is closely associated with enterprise software providers like Atlassian, who are developing systems to connect disparate work tools and data for AI.
Explore a project management tool like Jira or a collaboration platform like Confluence. Look for features that link tasks, documents, and team members. Imagine how an AI could use these connections to answer questions about project status or dependencies.
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
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Questions people ask
- How does a teamwork graph help AI?
- It provides AI with a structured understanding of how people, projects, and information are connected within a company, enabling more relevant and actionable responses.
- Is this the same as a company's internal wiki?
- A teamwork graph is more dynamic and interconnected than a wiki. It links not just information but also people, tasks, and project progress across different tools.
First seen on Subvolts Oct 6, 2026. Updated Oct 13, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.