Pick the first job for an agent
How I decide which repetitive job to automate first, and which calls still need a person.
Start with one repetitive task and a result you can review.
What counts as a job
Define the inputs, the result and who approves it. Catalogue QA reads a live listing and proposes a fix. Repricing uses costs and competitor changes to propose a price or flag an exception.
Agree the approval step before building. A person must approve spend, outbound messages and changes to records.
What I leave out
A first agent is a specific build. It does not include rebuilding the whole toolchain, handing over an untested file or committing to ongoing work before the first job is live. Unattended spend stays out.
How the first one ships
Agree the task and its approval step, then build it into the systems you already use. The agent drafts and a person approves. You leave with that task running.
Examples already on this site include catalogue checks against an approved record, a daily repricer with margin floors and catalogue health scores that warn of suppression risk.
If the problem spans your inbox, follow-up and handoffs, start by mapping how those tools need to work together. That is the AI implementation offer.
Want this run for your operation?
This playbook comes straight from client work. If you'd rather have it done than do it, that's what JS Labs is for.
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