Lennart Kappes
Automation & Development ManagerLennart Kappes' Areas of Expertise
At the intersection of high-performance web development, digital process automation, and AI-powered infrastructureWell-Thought-Out Web Development & System Architecture
Process Automation, Interfaces & AI Systems
Digital Transformation for Small and Medium-Sized Businesses
About Lennart Kappes
You don't recognize good digital infrastructure by the fact that it stands out, but rather by the fact that it runs reliably in the background and noticeably saves you time and effort in your daily life.Lennart Kappes
- IT Certificate from the Faculty of Philosophy at the University of Cologne.
- Exam Topics: Advanced IT Basics, Advanced Web Basics, Tools and Methods in DH (PHP), and Digital Objects
3 Questions for Lennart Kappes
Where is process automation truly worthwhile, and where is it overrated?
WordPress is often perceived as slow. What's really causing this, and what can be done to address these common performance issues?
WordPress itself isn't the problem. Most performance issues stem from a combination of low-cost shared hosting, too many plugins, and a lack of technical maintenance. When every feature is implemented using an additional plugin, it quickly adds up to hundreds of extra database queries per page view.
What actually helps:
- First, a hosting service that provides access to the server, database, and front end.
- Second, a well-maintained plugin stack that uses only what is truly needed.
- Third, a solid technical foundation—proper caching, optimized images, and a streamlined database.
WordPress can be very fast if these three points are in order.
Local AI systems and RAG are a hot topic right now. When do they really make sense for a company?
It makes sense wherever there is a wealth of knowledge, but that knowledge is scattered across documents, wikis, or emails and is difficult to find. A RAG system makes exactly this knowledge accessible: Instead of clicking through folder structures, you ask a question and receive an answer with a link to the source. Typical use cases include internal support, onboarding, or searching technical documentation.
Two factors are crucial here. First, the data set: An AI system is only as good as the data it has access to—if the documentation is incomplete, even the best model won’t help. Second, data protection. Especially in small and medium-sized businesses, sensitive data often cannot be shared with external providers. That’s why I rely on local systems that run entirely on our own infrastructure—the knowledge stays in-house, and the company retains control.
I look forward to hearing from you
Book a free initial consultation with Lennart Kappes now, or contact us by email, phone, or LinkedIn.

