The Agent Orchestrator: The Invisible Role
Your company will have ten AI agents running before anyone realizes that no one decided who is in charge of whom.
This is the invisible problem that the C-Suite hasn't named yet, and that is already costing decisions.
When a company starts operating with multiple AI agents, questions arise that look technical but are pure business decisions:
- Which agent takes precedence when two processes compete for the same resource?
- Where is the limit of what each agent can decide without human validation?
- Does the flow between them reflect the company's strategy, or merely the convenience of whoever configured the system?
If these questions are being answered by the IT team, by the vendor, or by the framework's default architecture, you have delegated business decisions to infrastructure. And infrastructure doesn't know your business.
This is where a role that still has no formal name in most companies comes in: the agent orchestrator.
Don't confuse this with the dev who connects APIs. The orchestrator is the strategic function that translates business priorities into flow logic, that defines where the human needs to be in the loop, and that ensures the system serves the company, and not the other way around.
In the companies that are truly scaling agents, this role already exists. Sometimes it's the CAIO. Sometimes it's the COO who understood what was at stake. Rarely is it someone from a purely technical team.
The risk of ignoring this function isn't technological. It's that the system grows on decisions made by omission, and by the time you notice, those decisions have already become operating rules.
In your company, who is answering these questions today? Tell me in the comments.
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