AI Knowledge for the Mittelstand
Not trend reports, but what mid-sized companies actually need to decide: legal requirements, integration with existing systems, costs, and where AI truly takes work off your hands.
Why AI pilot projects stall in the Mittelstand
Five failure points that are almost always the same – and an approach that delivers a solid result in twelve weeks.
EU AI Act: What has applied since August 2026
The timeline was changed via the AI Omnibus. Which obligations apply today, which were postponed, and what to do now.
Shadow AI: When employees secretly use ChatGPT
Why bans make the problem worse, and what an approach looks like that actually reduces risk.
RAG explained: How AI works with your documents
The difference between a generic chatbot and a genuinely useful company assistant – and the four places it usually breaks down.
Microsoft 365 as a knowledge base for AI
What connecting SharePoint, OneDrive and Outlook technically involves, and which groundwork makes the difference.
Incoming invoices with AI
From PDF in the inbox to a verified booking entry: what can be automated and where a human still needs to stay involved.
Responding to quotes and tenders faster
Quotes are built from earlier quotes. That’s exactly where the leverage lies – and the liability risk.
Permissions are the real AI problem
The most common incident isn’t an external data leak, but an employee who finds too much.
AI in HR
Where it helps right away, where it becomes risky – and why candidate selection falls into the highest regulatory tier from December 2027.
AI for public sector clients
Records management, citizen communication and procurement: what’s realistically possible in municipalities and public authorities.
What AI really costs
The license fee is the smallest line item. An honest breakdown across all six cost blocks.
Standard subscription, custom platform, or a hybrid?
Four realistic options and the five questions that actually determine the decision.
Chat or agent?
A chatbot suggests, an agent acts. The three levels of autonomy and where the boundaries belong.
From individual experts to a team standard
Why prompt libraries achieve more than any training session – and how to build one in a week.
“AI made in Germany” – what that really means
Storage location, processing location, access paths, contracting party: the ten questions for your vendor selection conversation.
AI rollout in 90 days
A week-by-week roadmap, tailored to companies with 20 to 250 employees.
AI in marketing
More content isn’t the goal. Why generic copy happens, and what has to be labeled since August 2026.
AI in development and engineering
Code, documentation – and the hands-on knowledge that’s lost with every departure.
“Is this going to take my job?”
The biggest hurdle is rarely the technology. How to bring your workforce along during rollout.
Which language model for which task?
Why leaderboards don’t help much – and why being able to switch matters more than the choice itself.
Reading rarely turns into a project on its own
If you want to know which of these use cases would actually work in your company: we’ll look at your processes and tell you honestly even when AI isn’t worth it here.
Your secure AI platform for the Mittelstand. Secure. Intelligent. Integrated. Custom database integration, personally supported.
novendix GmbH · Industriestraße 6 · 91126 Schwabach
Locations: Schwabach · Weißenburg · Nuremberg
A company of the L&S Lange & Schermer Group
