Automating Business Processes: Where to Start?

Florian de Graaf · 2026-03-12 · 8 min read · Updated: 2026-03-16

TL;DR: Automating business processes doesn't start with a tool, but with choosing the right process. Look for work that recurs, takes a lot of time, and is relatively predictable. Start small, test quickly, and then scale up. In this article, you'll learn how to get started with this practically as an SME.

Why automate business processes?

In many organizations, processes have evolved step by step over time. Once logical, but by now often unnecessarily manual and time-consuming. Think re-entering data, checking invoices, chasing reminders, or moving information between systems.

That's often where the biggest gains are. Not because automation itself is special, but because teams spend less time on repetitive work that adds little value.

The benefits are usually very concrete:

  • Time savings: less manual work and fewer loose intermediate steps
  • Fewer errors: less re-entering usually also means fewer corrections
  • More calm in the process: tasks are less likely to stall
  • Better scalability: growth doesn't immediately require extra capacity

Getting started with process automation step by step

Step 1: choose a good first process

Not every process is a good starting point. The best first candidate is usually a task that recurs regularly, takes time, is clearly scoped, and is still largely done manually.

For example:

  • invoice processing and checks
  • email triage or standard responses
  • transferring information between systems
  • compiling reports
  • onboarding steps for employees or customers

Step 2: map the current process

Before you automate anything, you first need to understand how it currently works. What steps are there? Where do errors occur? Where does the process wait on an employee? And which systems, documents, or exceptions play a role?

That sounds simple, but this is often where things go wrong in practice. Many organizations want to automate while the existing process hasn't been described clearly enough yet.

Step 3: determine which type of automation fits

Roughly speaking, there are three routes:

  1. Simple workflow automation: suitable for fixed rules and clear integrations
  2. AI-driven automation: useful when text, documents, or exceptions come into play
  3. Custom software: logical when a process is business-critical or doesn't fit well within standard tools

The art is not to immediately choose the most advanced solution, but the one that fits the process. Sometimes a simple workflow is enough. Sometimes you need AI or custom software.

Step 4: build a small pilot

Don't start with an organization-wide rollout right away. Instead, choose one scoped part of the process and create a first version for it. This way you quickly see if the approach works, where the exceptions are, and how much gain there actually is to be had.

A good pilot usually delivers three things:

  • proof that the flow works technically
  • a first picture of time savings and error reduction
  • buy-in from the people who need to work with it

Step 5: measure and then scale up

After the pilot, the real work begins. How much time was saved? How many errors disappeared? How stable is the process running? With those insights, you decide whether to refine, expand, or pick up a next process.

Organizations that automate successfully usually do it step by step. Not everything at once, but always the next process based on what has already proven to work.

Common mistakes in automation

Wanting to start too big

The bigger the first project, the more dependencies and the smaller the chance you'll learn quickly.

Automating a bad process

If the process itself is messy, automation won't fix that. You'll mainly just make it visible faster.

Not assigning an owner

Even an automated process needs someone who remains responsible for the outcome and monitors exceptions.

Not measuring

Without a baseline measurement, you won't know afterwards whether the automation actually delivered anything.

A practical example

Imagine: a company processes incoming invoices manually every week. Employees open emails, copy data, check fields, and then request approval. That doesn't just cost time, but also causes delays and a greater chance of errors.

With a well-designed workflow, a large part of that process can run automatically: reading invoices, checking data, routing to the right step, and only having someone look when there's a deviation. These kinds of processes are often a logical first step in workflow automation.

Frequently asked questions

How much does it cost to automate business processes?

That varies. A simple workflow or integration can start relatively small, while a process with multiple systems, exceptions, or AI components requires more. More important than the starting price is usually whether the process saves enough time, errors, or delays to make the investment logical.

What software is used for process automation?

That depends on the process. Sometimes a simple integration is sufficient, but for more complex workflows, custom code, API integrations, or AI agents are needed. The solution should fit the process, not the other way around.

How much time do you save with automation?

That differs per process, but with well-chosen workflows, saving several hours per week is quite normal. Especially with administrative and recurring tasks, the gains can add up quickly.

Is automation also suitable for small businesses?

Yes. Smaller teams in particular often benefit greatly, because the same people are responsible for many different tasks. If recurring manual work takes a lot of time or regularly gets delayed, automation is often worth investigating.

Want to get clarity on where you can best start? Schedule a free intro call and we're happy to think along about a logical first step.

Last updated: March 2026

Want to learn more?

Schedule an intro call and discover how AI can help your organization.

Schedule a free intro call