The average order clerk types the same order three times: once from the email, once into the ERP, and once more onto the packing slip. Every retype is a chance for an error and 15 minutes that never come back. Business process automation starts exactly there, with the work everyone recognizes and nobody enjoys.
Business process automation means software takes over recurring tasks that employees currently do by hand, following fixed rules and without a person in the loop. It covers passing data between systems, making simple decisions based on that data, and kicking off the next step. The goal is less retyping, fewer errors, and shorter lead times, so people spend their time on work that requires judgment.
We write this from 30+ years of experience building software that runs in production every day at organizations in healthcare, manufacturing, education, and government.
Which business processes you can automate
Far from every process is a good candidate for automation. The best candidates share four characteristics:
- Repetitive. The same action comes back daily or weekly, in the same form.
- Rule-based. A colleague can explain in one sentence what needs to happen: "if the amount stays under a fixed limit, approve it."
- Lots of retyping. Data arrives in one system and gets keyed manually into another.
- Lots of waiting. The work itself takes five minutes, but it sits for three days waiting for a signature, an email, or a check.
Processes that call for creativity, negotiation, or a difficult trade-off stay with people. Handling a complaint from a major customer remains human work. Logging that complaint, routing it to the right colleague, and tracking the response deadline can all be automated.
Take Sanne, operations manager at a technical wholesaler with 40 employees. Her back office receives around 120 orders a day by email and as PDFs and types them into the ERP. Two staff members spend a full day a week between them on this, and every week at least one order goes wrong because of a mixed-up article number. This process scores on all four characteristics, which makes it a logical first candidate.
Often the gain lies in connecting systems you already have, and sometimes in a dedicated application built around the process. On our page about custom software development you can read when standard software is enough and when a solution of your own makes the difference.
Business process automation in five steps
A sound approach stops you from starting with the tool and ending with an expensive license nobody uses.
Step 1: map the process
Describe the process as it runs today, including the detours. Spend a day alongside the people who do the work. For each step, note who does what, in which system, how long it takes, and where it sits waiting. A simple diagram on a whiteboard is enough.
You almost always find steps nobody can explain anymore: a check introduced after a single incident years ago, a report nobody has read in ages. Cut those before you automate anything.
Step 2: prioritize by time and errors
Put every candidate process in a simple table: how many hours a week it costs, how often it goes wrong, and what an error costs. Combine time with error sensitivity and you have a ranking. A process that takes little time but loses you a customer with every mistake belongs high on the list.
For Sanne, order entry comes out on top: a day a week of data entry, plus the errors that lead to wrong deliveries. The monthly inventory count ranks lower. It takes time, but it rarely goes wrong.
Step 3: choose between standard software, an integration, or custom software
For every process at the top of the list there are three routes:
- Standard software. For common processes such as accounting, time tracking, or payroll, mature software already exists. Buying is faster and cheaper than building.
- An integration. You often have the right systems already and only the connection is missing. An API integration between your web shop and ERP, or between planning and HR, solves the retyping without a new package.
- Custom software. Once the process is what sets your company apart from competitors, or standard packages keep falling just short, you build your own solution around the process.
Most automation projects we see are a combination: standard software for the basics, integration of existing systems to make them work together, and a piece of custom software for the rules that are specific to the organization.
Step 4: start small
Pick one process, one department, and one measurable goal. Automate the step with the biggest gain first and leave the rest as it is for now. A working solution for one process within a few weeks teaches you more than a blueprint for the whole organization.
Sanne starts by automatically reading in the PDF orders from her 10 largest customers. Those customers send orders in a fixed format, so the rules are simple. The back office reviews the imported orders on a screen and approves them with one click. Only once that runs smoothly do the remaining customers and the email orders follow.
Step 5: measure and improve
Before you start, decide what you will measure: lead time, hours, number of errors, customer satisfaction. Measure the same figures after four and after 12 weeks. Without a baseline you will never know afterward whether the automation was worth it, and you have no argument for the next step.
After 12 weeks, Sanne compares data entry time and the number of wrong deliveries with her baseline. She uses those figures to get the next department on board.
See how such projects play out in practice, from RFID scanning linked to the product catalog and ERP at Deron to a fully modernized aerospace maintenance platform, in our customer cases.
Business process automation examples by department
Process automation looks different in every department, but the pattern is always the same: the system handles the standard cases and presents the exceptions to a person.
Order processing. Orders from the web shop, email, and EDI land in the ERP automatically. The system checks inventory and credit limit and only queues the deviations for an employee.
Invoicing. As soon as a delivery or a timesheet is complete, the system creates the invoice, sends it, and books the payment once the money arrives. Reminders go out automatically, with a human step before a customer is handed over to collections.
Scheduling. A scheduling tool assigns technicians or practitioners based on skills, travel time, and availability. The planner only deals with the exceptions. In healthcare and at installation companies that saves hours of puzzling every day.
Onboarding. A new employee automatically gets an account, the right permissions, a laptop, and an onboarding schedule as soon as HR records the contract. When someone leaves, the same happens in reverse.
Administrative work is often the first place organizations start, because the rules are clear and the gain is visible right away. AFAS, the Dutch accounting and HR package, has more examples of administrative processes in its explainer on process automation (in Dutch).
Where AI helps with workflow automation and where it doesn't
Classic workflow automation runs on fixed rules: if this, then that. AI adds something on top in places where the input is messy. Two applications are already proving themselves in practice:
- Document recognition. An AI model reads a purchase order, an invoice, or a referral letter in PDF and extracts the fields the ERP needs, even when every customer uses a different format.
- Classification. Incoming emails, tickets, or reports automatically get a category and a priority, so they land with the right colleague.
AI is less suited to decisions with major consequences and few examples: granting credit, setting a medical priority, approving a contract. There a person stays responsible and AI delivers a suggestion at most. For us that is a starting point: AI works best when people stay close to it. An employee checks what the model has read, corrects where needed, and the system gets better from those corrections.
Read how we put data and AI to practical use in day-to-day processes on our service page.
Pitfalls when you automate business processes
Most failed automation projects run aground on the same four points.
Automating a bad process makes it bad faster. Joris, planning team lead at an installation company with 65 field technicians, had a scheduling tool built that followed the existing way of working to the letter, including the rule that every change went through his inbox. After the rollout, the schedule still ground to a halt whenever he took a day off, only now with a neat notification in the system. Only after he delegated approval to two colleagues did the tool start saving time. So always finish step 1 before you build or buy anything.
Starting with the tool. Buying a license and only then looking for a process that fits is the wrong way around. Business process automation software is a means to an end. The process and the measurable goal come first.
Ignoring exceptions. The 5% of orders or requests that deviate decide whether the whole process works. Design a clear route for exceptions to a person from day one.
No owner. An automated process needs maintenance: suppliers change their API, rules change, volumes grow. Without an owner, errors creep in unnoticed. That is why, with custom software, you choose a partner who keeps maintaining it after delivery. In our case, those are the same engineers who built it.
Frequently asked questions
Which business processes can you automate?
Processes that are repetitive and rule-based, with a lot of retyping or waiting. Think of order processing, invoicing, scheduling, employee onboarding, and processing incoming documents. Processes that require judgment or negotiation stay with people and are at most supported by software.
What is the difference between digitization and automation?
Digitization means moving information from paper or from people's heads into a digital form: a PDF instead of a form, a spreadsheet instead of a card index. Automation goes a step further: software carries out actions itself based on that digital data. Digitization is almost always the precondition for automation.
What does process automation cost?
That depends on the number of systems that need to work together, the quality of their documentation, the number of exceptions, and how far standard software gets you. An integration between two well-documented systems is a different project from custom software for a process with dozens of rules. After an exploratory conversation we give a concrete estimate with clear assumptions.
Do you need custom software to automate processes?
Far from always. Many processes can be automated with standard software or with an integration between systems you already have. Custom software comes into the picture once the process is specific to your organization, standard packages keep falling just short, or several systems need to work together intelligently.
Summary and next step
Business process automation succeeds when you start small and structured. The essentials in four points:
- Choose processes that are repetitive, rule-based, and error-prone.
- Map the current process first and cut what nobody can explain.
- For each process, choose deliberately between standard software, an integration, and custom software.
- Measure before and after, and keep people close to every step where AI has a say.
With 30+ engineers in Nijmegen and Sarajevo, 100+ completed projects, and ISO 9001 and ISO 27001 certification, we build automation that lasts for years, and we keep maintaining it after delivery. Tell us which process costs you the most time. In a no-obligation conversation we look at it with you and tell you honestly if standard software will do. Schedule a conversation with our team.
