TIME

How Much Time Is Your Business Losing to Tasks That Should Be Automatic?

Business Insights · 7 min read

The most expensive inefficiencies in a business aren’t always dramatic. Sometimes they’re five-minute tasks repeated hundreds of times.

Some business problems announce themselves loudly.

A customer complains.

A system crashes.

A deadline is missed.

A payment doesn’t arrive.

Everyone notices.

But some of the most expensive problems in a business are much quieter.

They happen every day.

Someone copies information from one spreadsheet into another.

Someone sends the same reminder.

Someone checks whether a payment has arrived.

Someone manually updates a report.

Someone forwards an enquiry to the right person.

Someone sends the same instructions to another customer.

Someone checks stock and messages another branch.

None of these tasks seems particularly serious.

After all, it only takes five minutes.

The problem is that five minutes has a habit of coming back tomorrow.

And the next day.

And the next.

Repetition has a hidden price

Imagine one employee spends just 15 minutes every working day preparing information that could be generated automatically.

That doesn’t sound alarming.

But over roughly 250 working days, that’s more than 62 hours a year.

Now imagine three employees are doing something similar.

Or ten.

Or imagine the task takes 30 minutes rather than 15.

Suddenly, what looked like a small administrative inconvenience has become weeks of working time.

And that’s only the time we can easily count.

Repetitive manual work can also create other costs:

mistakes;

delayed responses;

forgotten follow-ups;

inconsistent information;

employee frustration;

and time taken away from work that actually requires human judgement.

That’s why one of the most useful questions a business can ask is not:

“What should we automate?”

It’s:

“What are we doing repeatedly that a person shouldn’t have to keep doing?”

The phrase to listen for: “Every time…”

There’s a simple way to start finding these tasks.

Listen for the words:

“Every time…”

Every time a customer makes a booking, we send this message.

Every time someone pays, we update this spreadsheet.

Every time stock arrives, somebody enters it here and then enters it again there.

Every time we get a website enquiry, I forward it to someone.

Every Friday, I collect figures from the different branches.

Every month, we prepare the same report.

Every morning, someone checks yesterday’s orders.

Every time a new employee joins, we send the same documents.

That phrase is a clue.

It doesn’t automatically mean the task should be automated.

But it means the task is worth examining.

Because whenever a business does something frequently, predictably and according to clear rules, there may be an opportunity to make it easier.

Not everything repetitive should be automated

This is where automation conversations can go wrong.

The objective isn’t to remove humans from everything.

Some repetitive tasks are valuable precisely because a human is doing them.

A personal call to an important customer may be worth far more than an automated message.

A manager reviewing unusual transactions may require judgement.

A thoughtful response to a customer complaint probably shouldn’t be reduced to a generic template simply because AI can produce one.

The question isn’t:

“Can technology do this?”

Modern technology can do an extraordinary number of things.

The better question is:

“Should technology do this?”

Good automation removes work that doesn’t particularly benefit from human attention.

It gives people more time for the work that does.

Look for predictable work

Some repetitive tasks deserve particular attention because they follow a consistent pattern.

The same thing happens.

The same response follows.

The same information gets moved.

The same person needs reminding.

The same process starts again.

That doesn’t automatically mean it should be automated.

But when work happens frequently, predictably and according to clear rules, it’s worth asking whether a person really needs to perform every step manually.

Sometimes the answer will be yes.

Sometimes it won’t.

And that distinction is where useful automation begins.

Manual work creates more than a time problem

There’s another reason repetitive tasks deserve attention.

People get interrupted.

They get busy.

They take holidays.

They get sick.

They forget.

They make mistakes.

That’s not a criticism of employees. It’s simply how human beings work.

A business process that depends on somebody remembering the same routine task hundreds of times is eventually going to miss one.

That might mean a customer doesn’t get a follow-up.

A report goes out late.

A stock reorder doesn’t happen.

An enquiry disappears.

Or a task quietly sits unfinished because everyone assumed somebody else had handled it.

Automation can sometimes solve the time problem.

But just as importantly, it can solve the consistency problem.

But don’t automate a bad process

This is one of the easiest mistakes to make.

Suppose a business has a process involving twelve unnecessary steps.

Automating those twelve steps doesn’t necessarily create a good process.

It may simply create a faster bad process.

Before automating anything, ask:

Why are we doing this?

Does every step still need to exist?

Could the process be simplified first?

Are we collecting information nobody actually uses?

Are two people doing essentially the same thing?

Could an existing system already handle this?

Sometimes the best automation project begins by deleting half the process.

Then automating what’s left.

Try a Repetitive Task Audit

For the next week, ask yourself and your team to notice work that repeats.

Don’t worry about technology yet.

Just write the tasks down.

Create four simple columns:

TASK

What are we repeatedly doing?

FREQUENCY

How often does it happen?

TIME

Approximately how long does it take each time?

WHY DOES A PERSON NEED TO DO IT?

This last question is the interesting one.

Sometimes you’ll have a very good answer.

“Because this requires judgement.”

“Because the customer expects personal attention.”

“Because the information needs to be checked carefully.”

Good.

Keep the human.

But sometimes the answer will be:

“Because that’s how we’ve always done it.”

Or:

“I’m not actually sure.”

Now you’ve found something worth investigating.

Put a number on the problem

Let’s say someone spends 10 minutes every day manually compiling information.

That’s roughly:

10 minutes × 5 days = 50 minutes a week

50 minutes × 50 working weeks = 2,500 minutes

That’s more than 41 hours a year.

For one small task.

Now multiply those hours by the approximate cost of the person’s time.

And remember: salary isn’t the only cost.

There is also the opportunity cost.

What could that employee have been doing instead?

Speaking to customers?

Selling?

Managing the team?

Improving operations?

Developing a new service?

Solving a more important problem?

Automation isn’t valuable because machines doing things looks impressive.

It’s valuable when it gives people back time they can use more intelligently.

Start with the boring things

Businesses sometimes imagine automation as something enormous.

A huge digital-transformation project.

A sophisticated AI system.

An expensive new platform.

It doesn’t have to start there.

Often, the most valuable opportunities are hidden inside ordinary work nobody thinks twice about anymore.

The repetitive administration.

The routine checking.

The small tasks employees perform so frequently that they’ve stopped questioning why they’re doing them.

None of this sounds particularly exciting.

But if simplifying one ordinary process gives several people meaningful time back every week, that’s useful technology.

And useful beats impressive.

Don’t automate everything at once

Once a business starts identifying repetitive work, another temptation appears:

“Let’s automate all of it.”

Don’t.

Start with one problem.

Preferably one that is:

frequent;

time-consuming;

predictable;

low-risk;

and annoying enough that people will be delighted to stop doing it.

Fix it.

Measure what changed.

Then move to the next one.

This approach is usually easier to implement, easier for employees to adopt and easier to evaluate.

It also prevents a business from spending months building an enormous automation system before discovering that the underlying workflow was wrong.

The goal isn’t fewer people

This matters.

When we talk about automation, people understandably worry that it means replacing employees.

But that doesn’t have to be the objective.

In many businesses, talented people spend a surprising amount of time doing work that doesn’t require their talent.

A receptionist shouldn’t spend half the morning copying information between systems if that can be avoided.

A manager shouldn’t spend every Friday assembling numbers that could already be available.

A salesperson shouldn’t have to remember every follow-up manually.

A business owner shouldn’t spend evenings doing repetitive administration simply because nobody has examined whether there’s another way.

The goal of good automation is not:

How do we remove people?

It’s:

How do we stop wasting people’s time?

That’s a very different question.

Find the first 30 minutes

You don’t need to automate your entire business.

Start smaller.

Find 30 minutes of repetitive work that happens every day.

That’s approximately 125 hours over 250 working days.

Now imagine getting most of that time back.

Then find the next 30 minutes.

This is how businesses can become easier to run—not necessarily through one enormous technology project, but through a series of small improvements that remove unnecessary work.

And sometimes, the best place to begin isn’t with an automation tool at all.

It’s simply noticing what everybody has become so accustomed to doing that nobody asks anymore:

“Why are we still doing this manually?”

At MakeBizEasy AI, we think that’s a question worth asking.

Because good technology shouldn’t create more work.

It should give you time back.


Try this tomorrow

Before your working day begins, choose one person in the business—including yourself.

For one day, ask them to make a small mark every time they perform a task they’ve already done before and expect to do again.

At the end of the day, look at the list.

Don’t ask:

“What AI tool can do all of this?”

Ask:

“Which of these tasks actually needed a human?”

The answer may surprise you.


Found something you’re tired of doing manually?

Tell us what it is.

Maybe the solution already exists. Maybe the process can simply be improved. Maybe a small automation could help.

And sometimes, a problem that keeps appearing across many businesses might even inspire something new.

Tell MakeBizEasy