Workflow automation: what it is, examples and benefits

Workflow automation can, for example, involve an application coming in, the correct information being automatically checked, the case being forwarded to the right person, the next step being triggered when a decision is made, and everything being logged along the way. In practice, this means that manual steps, waiting times, and unnecessary interruptions are reduced.

For many businesses, this is more everyday than it sounds. Workflow automation is often what happens when you move from emails, Excel, checklists and verbal handovers to a clearer and more controlled digital way of working.

Workflow automation as a concept

Workflow automation is close to several other concepts and is often used as an umbrella term for automating workflows with rules, steps and decisions.

The closest is process automation , which is a broader concept that means streamlining processes. BPA (Business Process Automation) , is often used when you want to emphasize business benefits and business processes. DPA (Digital Process Automation) , is also close but more often refers to more comprehensive digitalization of processes, including interfaces, data and follow-up.

IA (Intelligent Automation) , and Hyperautomation are a step broader conceptually. There, workflow automation is often combined with AI, document interpretation or other technologies to automate more of the business.

The simplest way to look at the concept is therefore that workflow automation describes the workflow itself, while BPA, DPA, IA and Hyperautomation describe larger contexts or higher levels of ambition. The important thing is not what the solution or automation tool is called, but what it actually solves.

How does workflow automation work?

An automated workflow is typically built on three parts:

1. Something that starts the flow.
2. Rules for what should happen.
3. One or more actions.

It starts with a trigger. It could be that someone submits a form, that an order is registered, that a file comes in, or that a status changes in a system.

Then comes the logic. This is where you decide what to do depending on what the process requires. Maybe some cases should proceed automatically while others require manual review. Maybe different people should be involved depending on the amount, type of case or business area.

Finally, the actions themselves take place. The system can create a case, update data, send a notification, generate a document or forward information to another system.

It sounds simple in theory, but in reality it is often more complex. Many processes depend on multiple systems, different roles, internal rules and local exceptions. This is where workflow automation becomes really interesting. Not to automate a button press, but to make an entire process work more consistently.

This is also where many organizations discover the difference between digitizing and automating. Having a form or case management system doesn’t automatically mean that the workflow is efficient. If people still need to hunt down information, interpret next steps, or move data between systems by hand, then there is often more work to be done.

Workflow automation and AI

Workflow automation doesn't have to involve big AI investments or advanced technology. It often starts with a process that has become too important, too extensive, or too sensitive to continue operating semi-manually. In many cases, such workflows are primarily based on structured data , as it makes it easier to control rules, decisions, and the next steps in the process.

That said, it is often wise to consider which parts of your business processes contain unstructured data , such as documents, images, PDFs, audio files, code, or web content. IDC estimates that 90% of enterprise data is unstructured .

Here, AI can be used to interpret, sort, summarize or extract information, which can then become part of a more automated workflow. In this way, AI can serve as a natural complement to workflow automation and, in the long term, broaden which processes can be automated. AI broadens what can be captured in a workflow, but unstructured data needs to be classified, quality assessed, filtered and controlled to function well in AI applications.

Examples of workflow automation

Workflow automation can be used in almost any administrative process where the same type of steps recur.

• A common example is onboarding. When a new employee is hired, several steps can be set in motion immediately. Accounts must be created, equipment must be ordered, permissions must be set, introductory materials must be sent out, and the right people must be given their information. If all of this is done manually, the process can easily become both slow and vulnerable.
• Another example is approval flows. Invoices, contracts, purchases or internal decisions often need to go through multiple steps. When the workflow is automated, it is possible to control who does what, in what order and under what conditions.
• Customer service and case management are also common areas. A case can be automatically categorized, sent to the right function, prioritized based on certain rules, and followed up if there is no response. This not only saves time, but also provides better structure.

There are also many processes that lie between departments and therefore often become unnecessarily slow. A workflow that goes between sales, delivery, support, finance and follow-up is rarely efficient if each step lives in its own system or in its own inbox. Then automation becomes a way to hold the process together, not just speed it up.

Benefits of workflow automation

The most obvious advantage is often less time spent on administration, but that is rarely the biggest gain in the long run.

• An important effect is that the process becomes more predictable . When the workflow is clear and controlled, the risk of something getting lost, getting stuck with the wrong person, or being handled differently depending on who happens to be available is reduced.
• Another benefit is better quality . When data is collected and sent in a more controlled manner, double-entry, misunderstandings and manual errors are reduced. It also becomes easier to follow up on the process and see where bottlenecks actually occur.
• For many businesses, reducing dependency on people is at least as important. Processes that work well as long as certain people are in place are often more vulnerable than you think. When knowledge, exceptions and handovers are in the heads of a few people, it becomes difficult to scale, develop and ensure quality over time.
• Workflow automation can also make it easier to manage growth . What works well when volumes are small quickly becomes cumbersome when more cases, customers or internal flows need to be handled. Automation makes it possible to increase capacity without the administration growing as quickly.
• Another strength is traceability . In processes where it is important to understand what happened, who did what and why a decision was made, an automated workflow often provides a much better basis than email threads and manual lists. This is especially true in regulated or mission-critical processes.

When summarizing the benefits, it's often better to think of it this way: workflow automation isn't just about working faster. It's about working more controlled, more scalable, and with less friction.

Integrations, standard systems or customized workflow automation

There are several paths to workflow automation, and not always the same path is the best fit.

For simpler needs, a lighter tool may be more than enough. If you want to automate smaller tasks in a limited environment, Google Apps Script, for example, can work well. It is often suitable for smaller companies or teams that want to quickly automate something in Google Workspace, such as forms, spreadsheets, or simple notifications.

If the need is primarily to connect existing systems, integration tools may be the way to go. Zapier is a well-known example when you want to get different apps talking to each other without building a whole new system. It can be a good option when the process is relatively simple and when the most important thing is to create flow between already established tools.

But many businesses quickly realize that simply connecting systems is not enough. There may be a hole in the system map. The process is important, but no standard system really fits. There may be several tools that solve parts of the need, but nothing that holds together the entire workflow, logic, data and follow-up.

Standard systems are often a good fit when the process is quite similar to other organizations' processes. In that case, it is often wise to use something ready-made. But when the business has its own rules, many integrations, multiple roles, high complexity or the need to change the process over time, then the compromises can easily become expensive.

It is in such situations that customized workflow automation becomes relevant.

For us at Multisoft, it often involves operations where ready-made standard systems are not enough, or where several systems need to be linked together by a more business-specific system support. In this case, a customized system can provide better control over both workflow, information and further development. This is especially true when the process is important to the business, when integrations are central and when it is not sustainable to build critical flows in separate point solutions.

This is also a common path for larger organizations. Either you try to adapt your operations to a standard system. Or you build it yourself and take full responsibility for development and management internally. There is a third option: to build a customized business system on a proven platform, where the solution is adapted to the process but where you do not have to bear the entire development and management burden yourself.

Low-code workflow automation

Low-code workflow automation means that you or a partner builds and changes workflows using ready-made components instead of developing everything from scratch.

This doesn't mean the solution needs to be simple. Rather, it's about gaining momentum without losing structure. With the right platform, it's possible to build advanced flows with integrations, business logic, roles, and follow-up, but without each part needing to be specially developed from scratch.

This is especially interesting in businesses where processes change over time. When rules, responsibilities, integrations or information needs change, the system support needs to be able to keep up. If every change becomes a heavy development project, improvement work will quickly slow down.

Low-code is therefore often a good fit when you know that the process is important, but don't want to choose between a half-fit standard system and full in-house development. You want to be able to build quickly, but also have something that can be managed, developed further and trusted over time.

For us, this is a central part of how we work. Softadmin® is built to be able to develop customized business systems quickly, but also so that they can live a long time, be further developed and integrated into a larger system environment. This makes low-code relevant not only as a way to get started quickly, but as a way to create sustainable workflow automation in businesses where the requirements are actually high.