AI email triage: how to stop drowning in the shared inbox

AI email triage reads every message that lands in a shared inbox (orders@, support@, info@), works out what it is and how urgent it is, pulls out the details, and routes it: to the right person, into the right system, or back to the sender with a drafted reply waiting for approval. Most teams start with sorting and drafting, and let it send on its own only for the simplest categories.

Why do shared inboxes break as a company grows?

Because one inbox ends up doing five jobs. Orders, quote requests, delivery questions, invoices, complaints and spam all arrive in the same place, and someone has to read each one to know whose it is. At a few hundred emails a day, that reading is a full-time job, and urgent messages wait behind routine ones.

What does an AI triage agent do with each email?

1. Classifies it. Order, quote, status question, invoice, complaint, vendor, spam, or "not sure", using your categories, not generic ones.
2. Scores urgency. A customer whose truck is waiting is not the same as a catalog request.
3. Extracts the details. Customer, account number, PO or order number, items, dates, what they're asking for.
4. Looks things up. Order status, tracking, account owner, open tickets, so the reply or the handoff has the facts already.
5. Routes it. Into the ERP, CRM or helpdesk as a record, to a named person or queue, or to a drafted reply.
6. Drafts the reply. In your tone, with the facts it looked up, for a person to approve or edit.

Is this an AI agent or a workflow?

Usually a workflow with an AI step. Reading and sorting the email is the AI part; what happens to each category is your fixed rule. That is good news: it is cheaper to build and easier to trust. It becomes a real agent when it starts resolving cases itself, like answering a status question by checking the ERP and the carrier and replying.

Can it work inside Outlook or Gmail?

Yes. The agent connects to Microsoft 365 or Google Workspace and works on the shared mailbox directly: it applies categories or labels, moves messages, and leaves drafts in the thread. Your team keeps working in the inbox they already use, and the agent's sorting and drafts show up there.

How do you keep it from sending the wrong thing?

• Drafts first. In the first weeks, nothing is sent without a person.
• Never-send categories: complaints, cancellations, anything legal or financial.
• Replies quote only facts the agent looked up, never made up. If a lookup fails, it says so instead of guessing.
• Every action is logged with the email it came from, so you can review what it did and why.

That is the same three-tier model we use for every agent: on its own, ask a person, never. More in how to keep people in control of AI agents.

What should you measure?

Time to first response, emails handled per person per day, misrouted emails, and the share of drafts sent with no edits. The last one tells you when a category is ready to send on its own.

How do you start?

Export a few weeks of the inbox, label a sample by hand, and run the agent against it in practice mode to see how it sorts. You'll know within days which categories it handles well. Our First Agent Sprint does exactly this on your real inbox and ends with a working first version.

See also AI customer service agents and AI agents for operations.

Common questions

Does the AI read every email in the mailbox?

Only the shared mailboxes you connect, with the permissions you grant. Personal inboxes stay out of it.

What about attachments?

It reads PDFs, spreadsheets and images, and hands documents like purchase orders and invoices to the right process.

Can it reply in Spanish or other languages?

Yes. It can read and draft in the customer's language, and still route in English for your team.

How is this different from Outlook rules?

Rules match words. The agent reads the message the way a person would, so "the delivery hasn't shown up" and "where's my stuff" land in the same place.