AI Team Status is the team-organized view of the agent fleet. Twelve specialized teams (SRE Core, Cloud, DevOps Tools, Cybersecurity, AI Science, Specialists, Security, Data and ML, Business, plus seven meta-orchestrators). Each team's page shows its agents, current state, and recent activity. Use it when you want to think team-by-team rather than agent-by-agent.
A flat list of 100 agents is hard to reason about. Grouping them into 12 specialized teams lets operators reason about clusters of capability instead. "How is the Cloud team doing this week?" is a meaningful question. "How is agent #47 doing this week?" rarely is. The team grouping mirrors the way human SRE orgs are structured.
Click any team to see its roster: every agent on the team, current state, success rate this week, recent activity, autonomy tier. The page is identical in shape to Agent Fleet but pre-filtered to the team. Useful for team leads who want to focus on their slice.
The meta-orchestrator team has seven agents that never act on production directly. They route work between specialists (Task Planner, Agent Router, Conflict Mediator), and they coordinate the multi-agent pipeline. Their failure mode is silent, a misrouted task ends up with the wrong specialist. The team's SLOs include routing accuracy, not just task success.
Tenants can add custom agents to existing teams or create their own teams. A "Payments Specialists" team for a payments-heavy tenant; a "Compliance" team for a HIPAA tenant. Custom agents appear on this page next to the built-in ones with the same KPIs and tier history.
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For platform-wide retros, the team view is what makes the conversation tractable.