What’s It About?
Mid-sized companies in the DACH region are facing a remarkable development: instead of months-long ERP rollouts, they can digitize their business processes considerably faster with modern approaches such as artificial intelligence and low-code tools. While conventional enterprise resource planning systems require between ten and thirteen months until full commissioning, focused automation solutions can already deliver initial successes within a few weeks.
Background & Context
A current Trovarit analysis shows that mid-sized businesses have to plan on average more than a year for ERP projects. The financial dimensions are considerable: costs of just under 6,000 euros arise per user, with between half and two-thirds of total expenditure being attributable to training measures, data migration, and individual customizations. Many small and medium-sized enterprises, however, do not need comprehensive ERP functionality at all, but only targeted solutions for individual business processes such as invoice management or quotation creation.
This is where low-code platforms such as n8n or Make.com come in, enabling companies to configure specific automations without having to replace an entire system. Practical use cases such as automating incoming invoices can be realized within two to four weeks and deliver immediate time savings. In parallel, AI use in the SME sector is growing: according to the KfW SME Panel, 20 percent of mid-sized firms now rely on artificial intelligence, and among companies with more than 50 employees the share is already 36 percent.
What Does This Mean?
- Through targeted low-code solutions, mid-sized companies can accelerate their digitization projects by half a year while at the same time reducing costs.
- Focusing on individual workflow automations instead of complete ERP systems enables more flexible and needs-based digitization strategies.
- With the rising use of AI, new challenges arise in the area of shadow IT when employees use private accounts for AI tools in an uncontrolled manner and thereby create data protection risks.
- Companies need clear governance guidelines in order to leverage the advantages of low-code and AI without taking on security and compliance risks.
- The development signals a paradigm shift: instead of lengthy all-in-one solutions, modular, quickly implementable automation approaches are gaining importance.
Sources
So sparen Mittelständler 6 Monate Implementierungszeit (Computerwoche)
Wie KI-Agenten und Low-Code mittelständische SAP-Landschaften automatisieren (IT-Onlinemagazin)
This article was created with AI assistance and is based on the listed sources as well as the language model’s training data.
Further Reading: OpenClaw: How a WhatsApp Message Becomes an Acting AI Agent