Agent orchestration

Agents & orchestration

Orchestration covers all the mechanisms that drive an AI agent's behaviour: how it reasons, in what order it acts, how it chooses its tools and handles errors. Single- or multi-agent, it is the prerequisite for moving from a POC to a reliable, traceable, supervisable production system.

In practice at Gensai

Gensai structures its deployments around explicit orchestration, with human checkpoints proportionate to how critical the use case is.

What should an orchestration include?

At a minimum: the list of authorised tools, the order of steps, error and retry handling, cost and time limits, human validation points on sensitive actions and a complete log of what the agent did. Tools such as n8n, LangGraph or the agent SDKs of major providers make this easier to set up.

Common mistake

Letting the model decide everything. Without explicit orchestration, an agent can loop, call one tool too many or generate unexpected costs. The more critical the task, the more clearly the path must be marked out.