AI for email: how much of your inbox could it handle?

The jobs inside this work

Morning triage

Working out which of forty messages actually need you today, and which can wait until Friday.

The same five replies

Opening hours, availability, pricing ranges, where to send a document, what happens next.

Reading long threads

Someone forwards a chain of fourteen messages and you have to work out what is being asked.

Chasing

The polite second and third nudge nobody remembers to send.

Re-typing details

Copying a name, address, or job detail out of an email and into another system.

Clearing the backlog

The three hundred unread that you will get to eventually.

What AI can realistically help with

• Group incoming mail into a handful of buckets so you read in order of importance.
• Reduce a long thread to what is being asked and by when.
• Draft routine replies from wording you have already approved.
• Pull out details — dates, addresses, quantities — for you to check before they go anywhere.
• Suggest the follow-ups that are overdue.

What should stay with a person

• Anything involving price, a deadline, or a commitment.
• Complaints and anything from an unhappy customer.
• First contact with a customer who matters.
• Anything legal, contractual, or about money owed.

Risk and review

• Auto-send is where email AI goes wrong. A confident, incorrect reply sent at 6am is worse than a slow one.
• Inbox tools usually need broad access to your mail. Check what the provider stores and for how long before connecting it.
• Never paste customer records, card details, or credentials into a general assistant.