AI Demystified6 min read

What Tasks Should You Automate First in Your Business?

Not sure what to automate first? Use this simple rule-based test to find repetitive tasks that are perfect for automation.

Miracle C. Edeh

AI automation expert helping businesses scale.

What Tasks Should You Automate First in Your Business?

What Tasks Should You Automate First in Your Business?

You know you need to automate something. You just don't know what.

So you freeze. Or worse, you automate the wrong thing and it breaks, and you decide automation "doesn't work for my business."

Here's the plain-English answer: automate the tasks that happen the same way every single time and require no judgment call from you. If you'd give the exact same instructions to a new employee every single time, that task is ready for automation. If the answer depends on "it depends," it's not ready yet.

Let me show you how to spot the difference.

Think about sorting laundry

When you sort laundry, you don't stop and think about each sock.

Whites go one way. Colors go another way. Every single time, no exceptions, no debate.

You don't call a meeting to decide if a white t-shirt belongs with the whites. You already know. The rule is fixed, so your brain goes on autopilot.

That's exactly what automation is for in your business. Tasks that are already sorted in your head. Tasks where the "rule" never changes.

The test: would you give the same instruction every time?

Here's a simple way to check any task in your business.

Ask yourself: if I handed this task to a brand new employee, would my instructions be identical every single time?

If yes, that task is a whites-and-colors task. It's automation-ready.

If your instructions would change depending on the situation, that's a different kind of task. It needs a person thinking, not a machine repeating.

Example 1: the leads pile

Someone fills out a form on your website. What happens next?

If you always do the same three things, save their info, send a welcome email, notify your sales person, that's laundry sorting. Same steps, every time, no thinking required.

But if you sometimes call them, sometimes ignore spam entries, sometimes forward to a different person depending on what they wrote, that's judgment. That part stays with a human, at least for now.

Example 2: invoices and payments

Sending an invoice after a job is done is a whites-and-colors task. Same template, same steps, same timing, every time.

Deciding whether to give a client a discount because they've been loyal for three years, that's not automation. That's a judgment call only you can make.

Example 3: appointment reminders

Reminding a client about tomorrow's appointment is always the same message, sent the same way, at the same time before the appointment. Perfect for automation.

But handling a client who calls in upset about a mistake, that needs a human who can listen and adjust. No rule covers every version of human frustration.

Why "first" matters: start with the biggest pile of laundry

Not every automation candidate deserves your attention first. Just like you don't sort one sock at a time, you look for the biggest pile.

Ask yourself which repetitive task eats the most hours in your week. Not which one annoys you most. Which one actually costs you time, every single week, without fail.

If you spend six hours a week manually entering data from forms into a spreadsheet, that's your biggest pile. Start there. Not with the task that only happens once a month.

Volume and repetition matter more than how annoying a task feels. A task you do five times a day is worth automating even if it only takes two minutes each time, because two minutes times five times a day times every workday adds up fast.

Low variation beats low effort

Here's a mistake people make. They try to automate the task that takes the longest, assuming that's the biggest win.

But a long task with lots of variation is actually hard to automate well. It's like trying to sort laundry where the colors change shade every time you look at them. You can't build a fixed rule for something that keeps shifting.

Instead, look for tasks with low variation, even if they're short. A two-minute task that's identical every time is easier and safer to automate than a thirty-minute task that's different every time.

Low variation, high repetition. That's your sweet spot.

Mapping your own laundry pile

Here's how to find your first automation candidates without overthinking it.

Pick one workflow in your business. Something you or your team does regularly, like onboarding a new client, processing an order, or following up on missed payments.

Write down every single step, from start to finish. Don't skip the small ones. Include the step where someone copies a name into a spreadsheet, the step where an email gets sent, the step where someone double checks something.

Now go through that list and circle anything that passes the test: same steps every time, no judgment needed. Those circled items are your first automation candidates.

Even a five-step list is enough to start a real conversation with someone who builds automations.

Where this connects to bigger systems

If you want the fuller picture of how automation fits into your business beyond just task selection, we cover that in What Is Automation? A Plain-English Guide for Business Owners.

That piece explains the mechanics. This piece is about picking your starting point.

A word of caution

Don't try to automate everything at once. That's like trying to sort your entire closet in one afternoon when you've never sorted laundry before.

Pick one pile. Sort it. See it work. Then move to the next pile.

Businesses that try to automate ten things at once usually end up with ten half-broken systems instead of two or three that actually run smoothly.

FAQ

What's the simplest way to know if a task is ready for automation?

Ask if you'd give the exact same instructions every single time you hand off that task. If yes, it's ready. If your answer changes depending on the situation, it needs a human for now.

Should I automate the task that takes the most time first?

Not necessarily. Look for tasks with low variation and high repetition first, even if they're quick. A short task done fifty times a week often beats a long task done once a month.

What if a task is repetitive but sometimes needs a human decision?

Split it. Automate the repetitive parts, like sending a notification or saving data, and leave the decision-making part with a person. You don't have to automate a task completely to get value from it.

This is part of AI Without the Noise, from the AI Demystified course. Get the course or book a free AI audit.

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