Definition

What is process automation?

Process automation takes over recurring business processes through software so people can focus on valuable work. Classic RPA follows fixed rules, modern process automation combines RPA with AI and integration, so unstructured tasks run too. The result is less manual work, fewer errors and a provable ROI.

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In short

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Process automation in detail

Behind the term is a simple idea. Many office workflows are predictable. An invoice arrives, gets checked, posted, filed. An order comes in, gets created, confirmed, shipped. Such chains repeat daily and bind time without requiring real decisions. Process automation takes these chains and lets software execute the steps. The human stays in the loop where judgment, exception or approval is needed and is relieved of the routine.

The three building blocks

A modern automated process usually consists of three layers.
RPA executes actions on existing interfaces where no API exists.
AI reads and understands what is unstructured, such as a PDF invoice or an email in free text.
Integration connects the result to core systems like SAP, CRM and DATEV, so data is not maintained twice.
Only the interplay of these three blocks makes automation robust enough for daily use.

A concrete example

Take invoice processing. Without automation, an employee opens the email, reads the invoice, types the line items into the system and files the document. With process automation, AI reads the invoice regardless of layout, extracts the line items, RPA and integration bring the prepared posting to DATEV, and the human only approves. Ten minutes of manual work per document become a short review glance. At high volume that quickly adds up to a clear ROI.

Where process automation pays off

Good candidates are processes with high volume, clear rules and a lot of manual work.
In accounting invoice processing, in logistics order handling, in HR onboarding, in sales follow-up.
Less suited are workflows that constantly require individual decisions or occur very rarely.
Which process pays off first we clarify in the process assessment and prove the ROI on the pilot.
More on Process automation that holds in your existing systems and How a project runs.

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FAQ

What is the difference between process automation and RPA?

RPA is a technique within process automation. It mimics clicks on interfaces and suits structured, rule-based tasks. Process automation is the umbrella term and additionally includes AI for unstructured inputs and integration into core systems. RPA is a part, not the whole.

Is process automation the same as digitization?

No, but it belongs to it. Digitization means bringing workflows into digital form at all. Process automation goes a step further and lets software execute these digital workflows on its own. You can be digitized and still have a lot of manual work. That manual work is what automation removes.

Does process automation always need AI?

No. For strictly rule-based, structured processes, pure RPA or workflow automation is often enough. AI pays off as soon as unstructured documents, free text or decisions come into play. We use AI deliberately where it makes the process more robust, not as an end in itself.

How do I start with process automation?

With a single process that binds a lot of manual work and is clearly measurable. In the process assessment we map the workflows, estimate the ROI and propose the first pilot. So you start lean, prove the value and only expand once the first process holds.