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Stop Automating Chaos

By Tomasz Lewandowski · 19 Jun 2026 · 5 min read

Stop Automating Chaos
Digitalising Your Business — Process Improvement

There is a common belief that digital transformation is about doing the same work faster.

It is not.

The real objective is to do better work with less effort, fewer mistakes and greater consistency.

Yet many businesses make the same costly mistake. They take a process that is slow, confusing or unnecessarily complicated and invest time and money in automating it.

The result is predictable.

Instead of eliminating inefficiency, they simply make it happen more quickly.

A Bad Process Does Not Become Good Because It Is Digital

Imagine a company that receives customer orders by email.

An employee copies the information into a spreadsheet.

Another colleague retypes it into the accounting system.

Someone else enters the same details into a shipping platform.

Finally, a manager checks everything manually before approving the order.

At first glance, the obvious solution might seem to be automation.

But should software really be copying information between four different places?

Or should the business ask a more fundamental question:

Why is the same data being entered four times in the first place?

Technology should simplify work, not preserve unnecessary complexity.

Every Manual Step Has a Cost

Whenever information is copied from one place to another, there is an opportunity for delay or error.

Names are misspelt.

Figures are mistyped.

Emails are sent to the wrong address.

Orders are duplicated.

Individually, these mistakes may seem insignificant.

Collectively, they consume hours of productive time and erode customer confidence.

The cheapest error is the one that never happens because the process no longer requires manual intervention.

Challenge Every Step

One of the most valuable questions a business can ask is surprisingly simple:

Why do we do it this way?

The answer is often revealing.

  • “Because we have always done it like that.”
  • “That is how the previous system worked.”
  • “Nobody has questioned it.”
  • “It only takes a few minutes.”

Small inefficiencies repeated hundreds of times each week become significant operational costs.

Digital transformation offers the perfect opportunity to challenge old assumptions.

Simplify Before You Digitise

Before introducing new software or automation, map the existing process from beginning to end.

Identify:

  • steps that add genuine value,
  • duplicate approvals,
  • repeated data entry,
  • unnecessary printing or scanning,
  • manual calculations that software could perform automatically,
  • bottlenecks where work waits for one individual.

Then ask whether each step should exist at all.

Sometimes deleting a task delivers more value than automating it.

Involve the People Doing the Work

Consultants and managers often design processes from meeting rooms.

The people who perform the tasks every day usually know where the real frustrations lie.

Ask them:

  • Which activities waste the most time?
  • What information do you repeatedly enter?
  • Which approvals rarely change the outcome?
  • If you could remove one step tomorrow, what would it be?

The answers may surprise you.

Employees are often eager to eliminate bureaucracy that has frustrated them for years.

Small Improvements Compound

Many owners postpone digital transformation because they believe it requires a major investment.

In reality, incremental improvements often deliver remarkable returns.

Removing one unnecessary approval.

Replacing a paper form with an online version.

Creating a shared customer record instead of maintaining three separate lists.

Automating a recurring email.

Each change may save only a few minutes.

Repeated hundreds of times over a year, those minutes become days of recovered productivity.

Practical Steps You Can Take This Week

You do not need to wait for a new software platform to improve your business.

Start with these actions:

  • Draw one key business process on a single sheet of paper.
  • Count how many times information is manually copied.
  • Highlight every approval stage and ask whether it is genuinely necessary.
  • Remove duplicate forms collecting the same data.
  • Standardise templates used across departments.
  • Replace free-text fields with consistent formats where appropriate.
  • Measure how long routine tasks actually take instead of relying on estimates.
  • Ask frontline staff to identify their three biggest frustrations.

The objective is not perfection.

It is continuous simplification.

Digital Transformation Is About Better Thinking

The best organisations are not necessarily those with the most software.

They are the ones that make it easy for people to do the right thing.

Their processes are clear.

Their data flows naturally.

Their technology supports the business instead of dictating how the business should operate.

When they automate, they automate something that already makes sense.

Do Not Build Faster Mazes

If your current process is confusing, expensive and prone to error, digitising it will not solve the underlying problem.

You will simply have a faster, more expensive and more sophisticated version of the same confusion.

Take the time to simplify first.

Remove unnecessary steps.

Capture data once.

Share information across teams.

Then automate.

Because the purpose of digital transformation is not to preserve yesterday’s habits with today’s technology. It is to create a better way of working for tomorrow.

How to simplify a business process before you automate it

  1. Map the existing process end to end. Draw one key business process on a single sheet of paper, from beginning to end, including its actions, decisions and handovers.
  2. Count the manual copying. Count how many times the same information is manually copied from one place to another, as each copy is an opportunity for delay or error such as misspelt names, mistyped figures or duplicated orders.
  3. Challenge every step. For each step ask 'Why do we do it this way?' and 'Should this step exist at all?', highlighting steps that exist only because 'we have always done it like that' rather than adding genuine value.
  4. Ask the people doing the work. Ask frontline staff which activities waste the most time, what information they repeatedly enter, which approvals rarely change the outcome, and which single step they would remove tomorrow.
  5. Remove avoidable work. Delete duplicate forms collecting the same data, remove unnecessary approvals, standardise templates across departments, and replace free-text fields with consistent formats where appropriate.
  6. Capture data once and share it. Capture each piece of data a single time and share it across teams, for example by creating a shared customer record instead of maintaining separate lists, so the same details need not be re-entered.
  7. Automate only what already makes sense. Once the process has been simplified, automate the steps that remain, because the purpose is to support a better way of working rather than preserve unnecessary complexity at speed.

Frequently asked questions

Should I automate a broken process?

No. A bad process does not become good simply because it is digital — automating it only produces a faster, more expensive and more sophisticated version of the same confusion. The better approach is to simplify the process first, remove unnecessary steps and capture data once, then automate what genuinely remains. Automation should multiply efficiency, not preserve complexity.

What should I fix before automating?

Map the process from beginning to end and identify duplicate approvals, repeated data entry, unnecessary printing, manual calculations software could do, and bottlenecks where work waits for one person. Then ask whether each step needs to exist at all. Removing avoidable steps and capturing data once usually delivers savings before any new technology is bought.

Why did my automation make things worse?

Because automation multiplies whatever it is applied to — including the inefficiency and errors already built into the process. If staff were copying the same information between four systems by hand, automating that copying preserves the underlying problem instead of removing it. The fix is to challenge why the data is entered multiple times in the first place, then simplify before digitising.

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