What is an AI team?
An AI team is a coordinated group of specialist agents working toward a defined objective. Each specialist has bounded responsibilities, permitted tools, and relevant company context. In the Nodes platform design, a Decision Pod is the bounded mission applying reusable capabilities, with an owner, authority, budget, and execution history. Its agents do the assigned work.
How the team works
A business goal or a relevant observed change can start work. The intended coordinating engine investigates and checks existing capabilities before assembling a team. One tool or an existing workflow may be enough; missing evidence may justify a question or waiting. The number of agents follows the job.
For example, an illustrative vendor-renewal team could reuse contract extraction, add usage comparison, and prepare the proposed next steps. Required approval comes before execution. The workflow then checks later invoices. This is product direction, not a deployed procurement workflow or customer savings claim. The current production application is insurance candidate evaluation; the broader autonomous team lifecycle requires its own demonstration.
What changes from one job to the next?
The specialists and tools can change with the responsibility. Relevant shared context persists under permissions, so the next team can use evidence already available to it. Creating a team does not give it unrestricted access or authorize a new production workflow.
Approval controls define which actions wait for review. Workflow orchestration coordinates the dependencies and handoffs.