How to automate a business process — a practical 7-step guide
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Most companies do not fail at automation because the technology is hard. They fail because they automate the wrong process, or automate a process nobody ever wrote down.
This is the sequence we use on live projects. Seven steps, in order. Follow them and the first automation usually pays for itself within a quarter.
Step 1: Choose the right process, not the loudest one
The best first candidate is boring: it happens often, it follows rules, the input arrives in a predictable form, and somebody can tell you roughly how many hours it eats per week.
Score your candidates against four questions and the winner is usually obvious.
| Question | Why it decides |
|---|---|
| How often does it run? | Daily or weekly work pays back fast. Quarterly work almost never does. |
| Is the decision rule-based? | If the answer depends on judgement or a relationship, keep it human. |
| Is the input structured? | Emails, PDFs and forms are fine. Phone calls and hallway agreements are not. |
| Can you measure it? | Hours per week, error rate, turnaround time. No metric, no proof. |
More on this: What is business process automation? Explained with real examples
Step 2: Write the process down as it really runs
Sit with the person who does the work and record every step, including the ones that are not in any handbook: the spreadsheet they keep on the side, the customer they always call first, the exception nobody documented.
You are looking for three things: the trigger that starts the work, the decision points along the way, and the definition of done. If you cannot name all three, you are not ready to automate.
Rule of thumb: if a new hire could not run the process from your description, neither can software.
More on this: Which tasks can AI actually take over in a company?
Step 3: Fix the process before you automate it
Automating a broken process just produces mistakes faster. Before anything is built, remove the steps that exist only for historical reasons, merge duplicate approvals, and settle the rules that people currently handle by asking a colleague.
This step regularly saves more time than the software that follows it.
Step 4: Pick the right kind of tool
There are three honest options, and the right one depends on how much your process differs from everyone else's.
| Option | When it is the right call |
|---|---|
| Standard software | Your process is common and you are willing to adapt to the product. |
| Workflow tool / no-code | Simple, linear steps between two or three systems, low volume, low risk. |
| Custom system with AI agents | The process is specific to your company, touches real money, or handles unstructured input like emails and invoices. |
Step 5: Run it in parallel before you trust it
For the first weeks the automation prepares the work and a person approves every output. You are not testing the software, you are collecting the exceptions nobody thought of.
When the approval rate stops moving — typically after a few hundred cases — you raise the threshold: small, low-risk cases go through automatically, anything above a value or confidence limit still gets a human.
Step 6: Measure the before and after
Take the numbers before you start: hours per week, average turnaround, error or rework rate. Take them again after eight weeks. Three numbers are enough to decide whether the next process is worth automating.
Companies that skip this step end up arguing about opinions instead of extending something that demonstrably works.
Step 7: Keep it alive
Processes change: a supplier switches format, a tax rate moves, a new product line appears. Every automation needs an owner, a log you can read, and a monitored failure path so a broken run gets noticed by a person and not by a customer.
That is the difference between an automation that still runs in three years and a script somebody quietly turned off.
In short
- Pick a process that is frequent, rule-based and measurable — not the one that annoys you most.
- Write the process down before you buy anything. Undocumented work cannot be automated.
- Start with one process, one owner and a human approving the output for the first weeks.
- Measure hours and error rate before and after, or you will never know whether it worked.
Frequently asked
How do I automate a business process step by step?
How do I define which business processes to automate?
How do I choose the right business process automation tool?
How long does it take to automate one process?
What can go wrong when automating a process?
Read next
In 30 minutes you will know which tasks in your company an AI can take over.
Describe one recurring process in two or three lines. You get a straight answer on whether it can be automated, roughly how many hours that frees per week and what a realistic first step costs.
After 30 minutes you have
A clear yes or no
Whether your task is suited to an AI employee at all.
A real number
What it roughly costs — and what you realistically save.
The first step
Concrete and doable. Even if it happens without us.
Nick van der Falk
AI expert for mid-sized companies
„I can help you move the repetitive work in your company over to AI employees.”
Tell us the task that eats the most time
You do not need to know the technology behind it. Just write, in your own words, what costs you the most time.
What happens next
- 1
We review your task
We check whether an AI employee is worth it for this at all.
- 2
We write back to you
Usually within one business day — short and without obligation.
- 3
30 minutes of clarity
What works, what does not, and what your first step would be.
What happens if you do not switch to AI
Your competitors are switching already.
The majority of companies plan to introduce AI in 2026.
That means up to 30% more margin.
Because AI employees take over the recurring tasks.
Costs drop significantly.
AI works around the clock, needs no holidays and no payroll overhead.
More money is left for marketing.
Saved costs flow into advertising — and bring in more customers.
Customers move to the competition.
More ad budget pulls customers away — and leaves less market for you.
Whoever does not adapt is pushed out of the market.
Over the next two to three years AI becomes the standard for mid-sized companies — not an option.
This is not scaremongering — it is already happening in the first industries. And most companies do not fail because they lack the will, but because they do not know how to walk this path. That is exactly what we show you — and implement for you if you want. We create clarity and we deliver.
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