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Team permissions for AI agents: roles that make sense

Design agent permissions for a team: who can view, who can run, who can change policy — and how to keep that mapping boring and auditable.

Updated 2026-08-22Reading time 5 min

Three roles cover most teams

RoleCan doCannot do
ViewerRead logs, traces, dashboardsRun tasks, change anything
OperatorRun tasks on assigned devicesChange policy, manage members
AdminEverything: policy, members, keys— (audited like everyone else)

Principles before mechanics

  • Least privilege: operators do not get admin just because it is easier.
  • Named accounts: shared logins erase the whole point of an audit trail.
  • Policy changes are reviews, not tweaks: every change is visible to everyone with access.

Pair permissions with the vault

Permissions say who may run; the key vault says who may spend. A viewer with a raw key in their .env is an operator in disguise — so keys stay in the vault and members get revocable access, per the revocation guide.

Keep it boring

The best permission system is one nobody thinks about: three roles, rare changes, everything logged. If members regularly need exceptions, the roles are wrong, not the members — revisit central policy instead.