Last month a friend who runs a small import business told me she spends every Monday morning copying shipment details from supplier emails into a spreadsheet. Every Monday. Two hours, give or take. She's been doing it for three years, which works out to roughly 300 hours of her life typing the same columns.
When I asked why she never automated it, she shrugged. “I figured that was for big companies.”
It isn't. And that's what this post is about: the boring, repetitive stuff that AI can take off your hands, and how to do it without burning money or annoying your team.
First, is it even worth automating?
Not everything is. A quick way to check: can you explain the task in a few sentences, and would it come out the same way each time? Copying shipment details, sorting emails, writing up meeting notes, yes. Deciding whether to renew a big client's contract, no.
Basic automation has existed for years, honestly. “If someone submits this form, send that email.” The catch is that it breaks the second anything arrives in a slightly different shape. And real work always does. Nobody writes “Request for order status.” They write “hey, ordered ages ago and nothing's turned up, help??” Today's AI tools can read that and understand what's being asked. That's the actual difference, and it's a big one.
Where people are using it right now
Customer support is the usual starting point, and it makes sense. If you look at your inbox, probably half the questions are the same handful. Where's my order, can I return this, are you open on Sundays. A chatbot can answer those at 2 am so you don't have to. The tricky or upset customers should still reach a human, though. I've seen companies try to hide their support team behind a bot and it goes badly.
Email is another one. Sorting it, summarising the endless reply-all threads, drafting responses to routine questions. If you've ever come back from a week off to 400 unread messages, you don't need me to sell this.
Then there's paperwork. Invoices, receipts, purchase orders. AI can read them, pull out the date, amount and supplier, and drop it all into your accounting software. It does slip up now and then (misreading a blurry scan, say), so somebody should spot-check a few each week. Still far better than typing it all in by hand.
Marketing teams lean on it for first drafts: product descriptions, subject line ideas, weekly report summaries. I'd be careful here. Left alone, AI writing tends to sound like everybody else's website, and it will occasionally state something false with total confidence. Use it to get started, then make it yours.
Scheduling is a quiet winner. Nothing drains a morning like trying to find one hour that works for five people. Tools handle that now, and some will join your calls and send out a list of who promised what.
HR and IT get a lot of use too. Booking interviews, answering “how many leave days do I have,” resetting passwords, sorting tickets. One warning on CV screening: if the tool has a bias, you won't spot it unless a person now and then reads the CVs it rejected.
How to start
Please don't try to automate ten things at once. I've watched that go wrong. Everyone gets overwhelmed, nothing works properly, and the whole idea gets blamed.
Do this instead. For a week or two, ask your team to jot down what they keep repeating. People are usually surprised. The thing eating the most time often isn't the thing anyone complained about.
Pick one small job. Low stakes, mildly annoying, easy to check. Sorting support emails is a good first one. Payroll is a terrible first one.
Look for a tool that plugs into what you already use, whether that's Gmail, Slack, Zoho or HubSpot. If it needs everyone to change how they work, hold off.
Let it run beside the manual method for a few weeks, with someone reading its output. That's how you find out where it's solid and where it goes strange.
Pick one number to track. Hours saved, reply time, errors per week, whichever. Otherwise “it feels faster” is all you've got, and that's not enough to justify spending more.
Things that go wrong
A messy process stays messy when you automate it. It just gets messy faster. Sort out the workflow first.
Removing people entirely is risky. AI can be wrong and sound completely sure. Anything touching money, legal stuff or a furious customer needs a human.
Privacy gets forgotten a lot. Before you paste customer details into any tool, find out where they go and who can see them.
And talk to your team. When staff hear “we're bringing in AI,” plenty hear “we're cutting jobs.” Say what you actually want from it, and ask them early what bugs them most. They know.
Last one: don't judge it in week one. Most tools need a few rounds of tweaking before they're any good.
What will it cost?
Less than you'd guess. Most are monthly subscriptions, and some have free tiers that suit a small team fine. Setup time and getting people comfortable cost more than the software. To put it in perspective, five hours a week on a repetitive job is about 250 hours a year. Even if a tool only halves that, it's paid for itself.
So, where do you begin?
Think about your week. Which task makes you groan out loud? Try a tool on that one thing. If it works, find the next. If not, you've spent a little time and learned something.
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