Digital Glossary · AI

What is process automation?

In brief

Process automation means having software handle recurring workflows in whole or in part—such as capturing invoices, routing inquiries or syncing data between systems. This frees up employees’ time for tasks that require experience.

Category AIReading time approx. 3 minLast updated October 16, 2026
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Process automation: definition

A business process is a sequence of work steps with a clear trigger and outcome—from receiving an order to sending the invoice. In process automation, programs take over the steps that follow fixed rules: transferring and checking data, generating documents, notifying people.

People remain involved wherever decisions, follow-up questions or exceptions come up. Good automation doesn’t replace the team; it takes the monotonous, error-prone parts of the work off their hands. Typical areas of use are sales, purchasing, accounting, human resources and customer service.

How process automation works

Technically, there are various approaches, which can also be combined. Which one fits depends on which systems are involved, whether they offer interfaces and how complex the rules are.

Every automation needs a trigger—such as an incoming email, a new record or a fixed time—clearly defined rules and an outcome that is logged. For exceptions, it is defined when a person takes over.

  • Interfaces (APIs) and webhooks connect systems directly with each other
  • Workflow tools such as n8n, Make or Power Automate map processes visually
  • Custom software controls complex processes with its own logic
  • Robotic process automation operates programs that lack an API through their user interface
  • AI components process unstructured content such as emails or PDFs

Benefits and limits

Automated workflows run around the clock, consistently and traceably. Typos from manual retyping disappear, customers get faster responses, and processes are easier to analyze. They are also easier to document and audit. Growth then no longer automatically means more administrative work.

The limits: automating a bad process only makes it bad faster. That is why a workflow should first be understood and simplified. In addition, every automation needs maintenance, error handling and monitoring so that failures don’t go unnoticed. Data protection and access rights also belong in the planning from the start when personal data flows between systems.

Real-world example: where you should start

Good candidates are tasks that occur frequently, follow clear rules and are currently handled by copying and pasting. A typical example is inquiry handling: a contact form automatically creates the lead in the CRM, assigns it to the responsible sales rep, sends a confirmation of receipt and sends a follow-up reminder after a few days.

Start with a manageable process, measure the effect and then expand. The first visible successes often increase acceptance within the team, and ideas for further workflows emerge. Nano Concepts analyzes workflows together with your team, connects existing systems via interfaces and develops automations that fit your processes.

Frequently asked questions about Process automation

Above all, rule-based, frequently recurring workflows with digital data: incoming invoices, order confirmations, appointment bookings, data syncing between online store and inventory management, or reports. Rare special cases and tasks that require a lot of judgment are less suitable.

Not necessarily. Existing systems can often be connected via interfaces. New software pays off when workflows currently take place in Excel lists or emails, or when standard solutions can’t map your own processes. A combination of both often makes sense.

Process automation is the umbrella term. RPA is one specific technique within it, in which software robots operate programs via the user interface. It is mainly used when systems don’t offer an interface.

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