Most companies try to govern AI with one global “admin panel” and discover that operations need hierarchy: team owners, budget owners, and action owners are different people.
The FleetRun pattern that scales first
- Model every actor as part of a reporting tree: people and AI agents share the same shape.
- Define autonomy by action class: read, draft, propose, or execute.
- Collectively review mission traces by step and link every outbound action to a review event.
How to stage a fleet in a real operations team
Start with one high-volume repetitive process: support triage, research summaries, or routine scheduling. Restrict scope by one reporting branch first, then grow capability per branch as your teams prove reliability.
That staged rollout avoids two common problems: over-scaling before audit maturity and over-constraining teams before adoption starts.