Agent Orchestration
Definition
Coordinating multiple AI agents, and the humans around them, so work flows through them as one managed process instead of a pile of disconnected pilots. Orchestration covers routing tasks to the right agent, sequencing handoffs, escalating exceptions to people, and monitoring the chain end to end. It is the operational layer that turns individual agents into an agentic workforce.
Where it fits in the SDI system
Make tasks, workflows, handoffs, exceptions, and accountable judgment visible before deciding what AI, process change, or better support should carry.
SDI practitioner lens
From definition to decision
Orchestration turns isolated agents into a managed workflow by coordinating assignments, context, handoffs, approvals, exceptions, and end-to-end evidence. Its value is operational reliability, not the number of agents shown in a diagram.
01 / Decision it should inform
Introduce orchestration when multiple specialized steps must share state and accountability while preserving a clear human control point.
02 / What to watch for
Adding agents to compensate for an unclear process multiplies failure paths and makes it harder to locate ownership when the output is wrong.
Related ideas, client examples, and next steps
Make the work visible before choosing what to change.
Continue with the ideas, evidence, and SDI support that are directly relevant to this page. When a link does not add useful context, it is intentionally left out.
Read practical guidance
Explore relevant help
See how SDI maps roles and tasks to decide where agents can carry repeatable work, where human judgment must remain, and where released capacity should go.
Explore the workforce assessmentTurn the term into a decision
What would “Agent Orchestration” change in your organization?
Clara can translate the definition into ownership, evidence, and the next question worth asking without treating the term as a solution.
