What is meant by Next-Gen Automation?

An automation architecture that is software-centric, open and extensible, thus enabling new business models, faster innovation and better integration.

Is this only relevant for large companies?

No. Medium-sized companies in particular benefit from clear architectural decisions in order to keep complexity manageable and to grow in a targeted manner.

What role do cloud computing, data, and AI play?

An important one, but not in isolation. Its benefits only become apparent when it is cleanly integrated into the automation architecture.

Does this mean a radical break with existing systems?

No. The goal is the evolutionary development of existing systems, not their replacement.

Next-Gen
Automation

Modern machines and systems arise from the interplay of mechanics, electronics, software, data, and connectivity. Existing automation architectures are increasingly reaching their limits in this context.

When is this relevant?

Software becomes a differentiating factor, but is architecturally limited.

Existing automation systems are difficult to expand or integrate.

Cloud computing, data, and AI are discussed strategically, but not effectively used.

The question is how open, scalable, and future-proof the platform needs to be.

My approach

For me, next-generation automation doesn't mean "more technology," but rather better system architecture. I support companies in strategically developing their automation architecture, with a clear focus on the market, product strategy, and long-term scalability.

Software and platform thinking as the basis of modern automation

Clear separation of core functionality, extensibility, and integration

Architectural decisions with long-term product and market logic

FAQs

Track Record in Comparable Engagements

Software-defined Automation Runtime

Patent EP4010798B1 (active)

Enables modern software stacks directly on the machine controller.

A containerized Linux runtime environment that seamlessly executes real-time control software and non-real-time workloads such as AI or data processing within a single system without separate systems or hypervisors.

2018 - 2025