When we describe the orchestrator as "the qualified operator who pilots AI inside your company", the next question is fair: what exactly does he do with those hours? Here is a typical week, on a system already in production.
Monday: read the numbers before touching anything
Reading last week's indicators: volume processed, share of proposals corrected by a human, share of cases marked uncertain, cost per run, end to end delays. That reading decides the rest of the week. A drift in the correction rate comes before any improvement idea.
Tuesday: work through the exception queue
Everything the machine refused to decide comes back to a human. The orchestrator handles them, but above all sorts them: rare and legitimate case, missing rule, or badly written instruction. The last two categories become corrections, not habits. An exception queue that never shrinks is the sign of a poorly tuned system.
Wednesday: fix, and prove the fix
Changing a rule, an instruction, a threshold or a knowledge base. Then checking against a set of reference examples, with the expected answers, to make sure the fix broke nothing elsewhere. Without that example set, every improvement is a gamble.
Thursday: watch the dependencies
Connected tools move: an interface changes format, a platform changes a rule, a model is updated. The orchestrator looks at error logs, at the changes announced by vendors, and at the consumption bill. It is the invisible part of the job, and it is what avoids nasty surprises the following month.
An orchestrator's work looks a lot like a workshop foreman's: tune, check, maintain, decide what to hand to the machine.
Friday: report
A short written update: what was processed, what was fixed, what is waiting on a decision from your side, and this week's figures next to last week's. The decisions that belong to you are stated in writing, with a deadline. A system that never asks the client anything is usually a system the client has stopped looking at.
What this work is not
It is not IT maintenance, and it is not consulting either: nobody hands you a recommendation to apply yourself. It is an operations post. The difference shows in the invoices: advice is paid once, operation is paid as long as it runs, because it produces as long as it runs.
The details of the plans and what they cover are on the AI Orchestrator page, and the technical mechanics are described in the article that opens the hood.
