Automating a 500-email-a-day inbox with an AI agent
In medical logistics, every email can hide an urgent case. Here is how an agent triages, extracts and drafts — while a human keeps the final word.
A customer-service inbox in medical logistics is a stressful place: order confirmations, delivery incidents, urgent clinical requests and newsletters all land in the same queue. When the queue hits several hundred emails a day, "first in, first out" becomes dangerous — the urgent case waits behind the newsletter.
What the agent does
- →Ingests every incoming email and classifies it by business type and urgency.
- →Extracts the key facts: order number, product, deadline, site, contact.
- →Drafts a reply in the company tone, with the extracted facts already filled in.
- →Routes the case to the right person with the draft attached.
The rule that makes it safe
Nothing leaves without a human. The agent prepares; a person validates and sends. In a sector where an email can involve patient care, that constraint is not a limitation — it is the design. The gain does not come from removing the human, but from removing everything the human did before the decision: reading, sorting, searching, retyping.
The test to run on your own inbox: measure how long the team spends before starting to answer. If reading and sorting eat more time than writing, an email agent will pay for itself.