AI email triage: halve the time your team spends in the inbox

For most small teams, the inbox is where the day goes to die. Enquiries, supplier messages, invoices, internal questions and newsletters all land in the same place, and someone has to read each one, work out what it is, decide who deals with it, and either reply or pass it on. It feels like work — but a lot of it is just sorting.

This is exactly the kind of repetitive, judgement-light task that AI now handles well. By combining an AI model (like Claude or OpenAI) with Microsoft Power Automate, you can build an assistant that triages your inbox the moment mail arrives — so your team only ever sees what actually needs them.

What "AI email triage" actually means

It's not about replacing your team with a robot. It's about doing the first pass automatically:

• Read & understand — the AI reads each incoming email and works out what it's really about.
• Categorise — new enquiry, existing customer, supplier, invoice, spam, internal — tagged and filed.
• Prioritise — urgent issues flagged; newsletters quietly archived.
• Route — sent to the right person or team automatically.
• Draft a reply — for common questions, a suggested response is written and waiting, ready to check and send.

Your team stops being the inbox's sorting office and starts being the people who only handle what matters.

How it's built

1. The trigger

Power Automate watches a mailbox (a shared info@ or enquiries@ address works best) and fires the moment a new email arrives.

2. The AI step

The email's subject and body are passed to an AI model with a clear instruction: classify this, score its urgency, and — if it's a routine question — draft a reply in our tone of voice. The model returns structured data the flow can act on.

3. The actions

Based on what the AI returns, the flow categorises, applies a label or folder, posts urgent items to a Microsoft Teams channel, and saves any draft reply for a human to approve. Nothing is sent without sign-off unless you choose to fully automate the safest categories.

4. Keeping a human in the loop

The first version always keeps a person checking drafts before they go out. Once you trust how it performs on a given type of email, you can let those send automatically — a bit like the sign-off step in an automated approval workflow, where you start cautious and widen the automation as confidence grows.

A realistic example

A property developer's enquiries@ inbox gets a mix of buyer questions, contractor messages and supplier invoices. The triage assistant tags each one, forwards buyer enquiries to sales with a drafted reply already attached, files invoices to the finance folder, and flags anything time-sensitive in Teams. The team starts the day with an inbox that's already sorted — and a stack of replies that just need a quick read and a click.

Watch-outs

• Data & privacy — keep email content inside your own Microsoft 365 / Azure environment and agree how the AI provider handles data before you switch it on.
• Start with drafts, not auto-send — let the AI suggest, and let people approve, until it's earned trust.
• Tone of voice — give the AI real examples of how you write, or the drafts will sound generic.

The takeaway

If your team loses hours a week to inbox admin, AI email triage is one of the fastest wins available — and it stacks neatly with other automations. Pair it with automated approvals and reporting and you remove a huge chunk of the manual office work in one go.