When info@ becomes a bottleneck: AI-powered email triage for shared inboxes

Almost every company has a shared address such as info@ or sales@, where complaints, quote requests and spam all land in the same place. Usually one or two people go through the inbox by hand and forward the emails. Our solution adds a layer in front: it assigns incoming emails to the right department automatically, prioritises them by content and closes the case as soon as someone has replied from their usual email client.
Posted on
October 12, 2026
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Almost every company has one: the shared address. info@, sales@, quotes@, service@. It is on the website, on the invoice, on the side of the van. And it is where everything a customer wants to get off their chest ends up: the urgent complaint, the quote request, the copy of an invoice, the cold sales pitch, the rescheduled appointment.

What happens next is the same in a surprising number of businesses: one or two people check the inbox several times a day, skim through it, forward emails and shout "have you seen this?" across the office. The rest of the company never sees the inbox.

That is exactly what we built a solution for.

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Too much for two pairs of eyes

The obvious part of the problem is volume. At one business we counted: around 6,000 emails in 180 days. Roughly half were read at all, and a quarter were actually dealt with. The rest slipped through because nobody could keep up. And this was a business where everyone felt they more or less had things under control.

Going through 30 to 60 emails a day by hand, understanding them and passing them on means interrupting everything several times a day to sort post. Nobody enjoys that work, and it does not scale as the company grows.

Three things make it even harder:

Nobody really owns it. A shared inbox has no owner. Either everyone feels responsible or nobody does. Both lead to things being left lying around or handled twice.

Rules are not enough. Outlook rules work with sender, subject line and keywords. They cannot tell whether "Quick question" hides a quote request worth CHF 40,000 or a newsletter unsubscribe. Anyone who has maintained a rule list that has grown over the years knows the result.

There are no priorities. Sorted by date, the urgent fault report looks exactly like last night's marketing email. At 40 emails a day, chance decides what gets seen first.

Then there is the part you only notice when someone is off sick or hands in their notice: the knowledge of who is handling what exists only in the head of the person looking after the inbox.

Our solution: a layer in front, not a new inbox

We deliberately did not build another email client. We built the layer in front of it.

Incoming emails are understood by their content, assigned to the right department and given a priority. Not through keywords, but through what the email actually says. Whoever is responsible gets a notification and sees in a simple overview what it is about, why the system made that decision and what has already been discussed internally.

The email is answered where it always has been: in your own email client. The system recognises that the case is done and closes it. No retraining, no migration, no running two systems side by side.

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What the solution does

Content-based classification

‍Assignment to the right department, plus an assessment of urgency. Every assignment comes with a reason you can follow, not just a label.

A summary for every case

‍One line instead of three paragraphs of email thread. Whoever delegates does not have to read everything first.

Internal notes and delegation

‍Comments directly on the case, with @mentions. The discussion no longer runs in parallel in chat and across the office, but where the case sits.

Configurable automations per department

‍An ordered list of building blocks that runs after classification: notify, assign, forward, send an acknowledgement, extract defined fields from the email, trigger a third-party system. Deliberately built as a simple list, not a node editor. A head of department has to be able to adjust it themselves.

Control over the automation

‍A confidence threshold for the classification: if the system is not sure enough, it stops and waits for a person to approve, rather than triggering the wrong action. When you start out, you check everything and loosen the threshold step by step.

Draft reply at the click of a button

‍A suggestion that a person checks and uses. No email is sent automatically.

Connection to existing systems

‍Create an entry in the CRM or project tool from an enquiry, extract the relevant fields from an invoice and pass them to accounting. Extensions like these plug into the solution without bloating it.

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Billed per email, not per user

This is the point that makes the biggest difference in practice.

There are established products for shared inboxes. They are well built and mature, and in this situation they regularly fail on one detail: they are billed per user.

That makes sense when ten people work in a support inbox all day. It does not make sense when a business has 40 people, but 35 of them only need a single email that concerns them every few days. Buying a full licence for these 35 occasional users never pays off. So they do not get access. And you are back where you started: two people forwarding emails.

With us, you pay for what actually comes in: incoming emails, after the spam filter. Not for the number of people who could theoretically have access.

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The result: there is no longer any reason to deny anyone access. The warehouse worker who gets a delivery email twice a month can be included. So can the stand-in in the admin team. And the field sales team. It costs nothing extra, because the email volume does not go up.

This is exactly where the rollout of such systems usually fails. You introduce one, give five people access to keep costs down, and the rest of the organisation carries on as before. A shared inbox that only part of the team can see is not a solved problem.

Deliberately not a ticketing system

What this solution is not: a ticketing system. If you need structured support with SLAs, escalation levels, a knowledge base and a self-service portal, this is not the right tool. There are better tools for that, and we use them too. We have described what that looks like here: monday Service and AI: the smart solution for modern customer service.

Our case is the other one: relationship-driven B2B correspondence that comes in through a generic address, branches out to several departments and has never fitted into a ticket structure. Quote requests, appointment arrangements, delivery notices, invoices, complaints, all in the same inbox. That is exactly where we come in.

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