Workflow

A workflow is a fixed sequence of work steps. Each step has a clear beginning, a clear end, and a rule for what happens next. A simple example is a sick-leave notification at a company: the employee reports in, the notification goes to HR, HR enters it into the system, the system informs the manager. Nobody has to figure out anew each time who is next in line. That is exactly the point: the process is thought through once and is then always carried out the same way. In software, such a process is often no longer passed on by people, but by programs.

Why companies write down their processes

A process that exists only in the heads of individual people is fragile. If the person responsible is unavailable, the work stalls. If a workflow is written down, on the other hand, anyone can follow it and take over in case of doubt. In addition, you can immediately see where things get stuck if something takes too long.

The second reason is traceability. In banks, hospitals, or government agencies, you must later be able to prove who approved what and when. A cleanly defined workflow logs this automatically. That is why the term is also widespread outside of technology, for example in administration.

Third, a written-down process is the prerequisite for automation. A computer can only take over steps that have been clearly described beforehand. Vague instructions like “take care of it” cannot be programmed. Anyone who wants to automate must therefore first understand their workflow.

Steps, conditions, and triggers

Technically, a workflow consists of three ingredients. There is a trigger that starts it – for example, an incoming email or a click on a button. Then follow the individual steps, which are executed one after another. And there are conditions that let the path branch: if the amount is under 500 euros, it is booked directly, otherwise it goes for review.

In many programs, this is drawn as a diagram with boxes and arrows. You don’t need to be able to program for this; instead, you drag the building blocks together with the mouse. Such tools are often called no-code tools because they get by without written program code. Behind them, however, is still real software that processes the steps.

What is new is that individual steps are now handled by AI models. A step might read: “Summarize this customer email and assign it to a category.” The result then moves on to the next step. It’s important to note the difference from an AI agent: an agent decides for itself which steps to take, while a workflow prescribes the order. In practice, the two forms are increasingly blending together.

From job application portals to stock market news

You encounter workflows constantly in everyday life, without them being called that. When you apply online for an internship, you receive an automatic confirmation of receipt, your resume ends up in a database, a case worker sees it on their list. Package tracking, too, is nothing other than a workflow with visible stations.

In business news, the term usually appears in connection with costs. Companies like Microsoft, Salesforce, or SAP sell software that automates workflows, advertising that employees spend less time on routine tasks. When a company announces that it is “integrating workflows with AI,” it means exactly that: individual steps are being handed over to models.

A common misconception is that automation automatically improves the process. A poorly thought-out workflow is only made wrong faster by software. Experts therefore recommend simplifying the process first and only then automating it. Otherwise, you cement detours that nobody actually needs anymore.