Automating a 500-email-a-day inbox with an AI agent

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.