As we discussed last week, a well-designed agent can reason, adapt and act. But what it can’t do is govern itself indefinitely. Agents are at their best when they operate inside a system that provides boundaries, routing, rules and oversight. Once agents are introduced to a process, so also is the possibility of instability. The question is now how multiple agents (and their decisions, actions and outcomes) are best managed through processes.
This is the role of the orchestration layer. It gives the agents’ reasoning a container.
Why orchestration becomes necessary
An agent operating alone can handle a surprising amount of work. Problems appear, though, when tasks grow longer, risks increase or multiple agents are involved.
Without orchestration, the agent’s behavior can become erratic. Agents can endlessly repeat actions or responsibility becomes muddled. When something goes wrong, there is no obvious place to intervene. An orchestration layer provides structure and prevents this drift.
Decide what orchestration owns
When designing an orchestration layer, the first design decision is that of responsibility.
Orchestration should manage routing, limits, shared state and validation while agents should focus on reasoning and action within those guardrails. When these roles blur, systems can become opaque and hard to maintain. Clear separation of duties will improve results. The designer can adjust orchestration rules without rewriting agent logic and can also improve agent behavior without having to resort to changes in system controls.
Routing tasks deliberately
Routing addresses a simple question: should this agent be handling this task at all?
Good routing will keep agents on task and early routing can be pretty basic. If the task fits the agent’s defined job, send it on through. If it doesn’t, divert it to a workflow or a human. As systems mature, routing can then take confidence, risk or workload into account.
Managing shared state
Orchestration keeps track of what’s already happened by storing decisions and results instead of full conversations which then will keep the system focused on progress. This includes noting which steps have been taken, which tools were used and what outcomes were produced.
The orchestration layer should curate the agents’ shared state. Too much context within that shared state creates noise while too little creates repetition.
Oversight and validation
Before work moves forward, the orchestration layer needs to check it. This may involve structural checks, consistency checks or review by another agent. Higher risk actions, such as those resulting in a change of state such as communication with a customer or changes to a customer’s account, should require stronger oversight. Lower risk actions can move faster. Oversight should scale depending on possible impact of the agent’s action. Treating every action the same slows systems down without improving safety.
Coordinating multiple agents
When multiple agents are involved, orchestration becomes the traffic controller. It assigns roles, manages handoffs and resolves conflicts. One agent might plan, another might execute while a third might review the results. Orchestration decides the order and preserves for the agents their shared context, so the work product remains coherent.
Without this coordination, additional agents create confusion instead of capacity.
Operating the system over time
Orchestration looks for patterns across tasks. Those patterns can include how often agents escalate, how many steps they take to perform the task and where they might struggle. These patterns will signal where adjustments should be made to limits, routing and validation processes.
Orchestration becomes the point where learning is applied to further stabilize the system.
When it works, strong orchestration rarely draws attention to itself. As agents become more capable, not including orchestration in a system design is almost unthinkable. Orchestration is what allows agentic autonomy without chaos. Together, agents and orchestration form a system that can adapt while remaining dependable.
Next week, we’ll give you the step-by-step recipe to cook up your own agents and orchestration layer.
