How to organise a shared email inbox with an AI agent

A shared email inbox, such as info@ or orders@, works best when every message is read as soon as it arrives, linked to the customer and the subject, and routed to whoever handles it, without relying on one person to sort the inbox all day. An AI agent can do that reading and routing, leaving the team with only the messages that have no clear destination.

This article explains why shared inboxes become a problem, how to set routing rules, what an AI agent does in email triage and what should always stay with the team.

Why does a shared inbox become a problem?

A shared inbox is created so that no request is lost. Over time it receives everything, orders, quote requests, complaints, supplier invoices, job applications and advertising. Someone has to read each message to decide who handles it, and that work grows with the volume.

How should routing rules be defined?

Before automating, it is worth writing down the rules the team already follows from memory. In most organisations they fit on a single page.

  1. List the subjects that arrive. Orders, quote requests, complaints, supplier invoices, information requests and messages of no interest.
  2. Set a destination for each subject. A process, a team or a person.
  3. Decide how the customer is identified. By the sender's address or domain, by the company name in the text or by an order reference.
  4. Choose what stays with a person. Ambiguous messages, new customers and sensitive subjects should reach someone rather than move on their own.
  5. Measure. How many messages arrive each day, how long they wait before being opened and how many are forwarded more than once.

The rules in the email client help with simple cases, such as moving messages from a known sender to a folder. They stop being enough when the subject only becomes clear by reading the text, or when the same customer writes from different addresses.

What does an AI agent do in email triage?

An AI agent for email triage is a program that reads each message arriving in a shared inbox, works out which customer and subject it concerns and routes it to the right process or person, within the rules set by the team.

In EngiAIFlow, email triage works as follows.

The outcome described on the product page is simple, the shared inbox no longer takes up someone's day. Triage can also be the entry point to other processes, because an identified order moves on to the orders agent and a complaint to the complaints agent.

What should always stay with the team?

Automating triage does not mean letting AI decide everything. In EngiAIFlow, the AI proposes and the platform decides what is executed, according to what the team has configured. Some cases should always go to a person.

When there is doubt, the case reaches a person with what has already been done and the decision still needed, and the team's corrections then guide the cases that follow.

Where should you start?

Imagine a distribution company whose general inbox receives orders, price requests and complaints all mixed together, and where one person spends the first hour of every morning distributing messages. A prudent start has three phases.

  1. Observe. For a few weeks, the agent proposes a destination for each message and the team confirms or corrects it.
  2. Route what is clear. Subjects with an obvious destination move on their own, and the rest still go to a person.
  3. Connect to processes. After triage, orders and quote requests can move on to the agents that handle them from start to finish.

If you would like to see email triage working with messages similar to your own, you can book a 20-minute meeting with the Engibots team.

Frequently asked questions

What is AI email triage?

It is the automatic reading of each message that reaches a shared inbox to identify the customer and the subject and route it to the right process or person.

Are email client rules not enough?

They are enough for simple cases, such as moving messages from a known sender. They fall short when the subject only becomes clear by reading the text or when the same customer writes from different addresses.

What happens to messages the agent does not understand?

They go to a person, with what has already been done and the decision still needed. The team only steps in on messages with no clear destination.

Does the agent learn from the team's corrections?

Yes. When the team links a sender to a customer, later messages from that sender arrive already identified, and corrections then guide the cases that follow.

Where should you start?

By writing down the routing rules the team already follows and by running a phase in which the agent proposes the destination and the team confirms it, before letting clear subjects move on their own.