AI Team Orchestration
Orchestration coordinates work across Digital Employees without requiring the orchestrator to perform every specialized job itself.
The orchestrator manages the workflow. Digital Employees own the jobs. Skills define the methods.
Orchestrator responsibilities
An orchestrator can track:
- current workflow state
- current stage and owner
- required inputs
- expected outputs
- stage exit conditions
- human approval status
- blocked work
- next stage and handoff
It dispatches specialized work to the appropriate Digital Employee and validates whether the returned artifact satisfies the requirements for the stage.
Structured handoffs
Digital Employees should exchange structured work products rather than passing an ever-growing conversation history from stage to stage.
A structured artifact can preserve decisions, evidence, source references, scores, risks, unresolved questions, and required next actions. Each downstream employee reads the fields required for its job instead of inheriting every token used upstream.
This makes long-running workflows more inspectable and more token efficient.
Human gates
Not every stage should advance automatically. The orchestrator can hold a workflow when organizational authority, risk, or expertise requires a person to make the decision.
Examples include approving an opportunity for pursuit, authorizing external communication, accepting a proposal strategy, or releasing a final deliverable.
See Human Management of AI Teams for the management model and AI Agent Governance and Controls for policy boundaries.
Next: AI Team Execution Layer.