Patterns we've worked out.
Each case study shows a typical industry pattern, the matching architecture and the numbers behind it, with all assumptions. Delivered projects are under References.
Use case, E-Commerce, 2026
Product data with AI: a projected 18 % more conversion for D2C catalogs of 5,000+ SKUs
Product data drifts apart between manufacturer PDFs, ERP and shop. The copy team can't keep up, and filters work in only half of your categories. We build the pipeline that extracts structured data, checks it against your brand guidelines and writes consistent copy for DACH and EN. Where it matters, a person signs off.
+18 %
Conversion rate on product detail pages (projected)
Use case, Planning firm, 2026
Tenders at planning firms: 30 minutes of review instead of 10 hours of bid work a day
Pursuing tenders means screening notices, sorting them, writing the bid document, finding the right staff, contacting partner firms and preparing the presentation. Typically, these steps tie up five people for two hours each day. That's 10 hours a day, more than one full-time role, spent on bidding instead of planning. We build the agent that takes over these steps, tuned to your reference list, your competencies and your regular partner firms.
20×
Less time on bid work (projected from the firm owner's baseline)
What are you working on?
30 minutes on video with Kevin Ludwig, free of charge. You describe what you have in mind; afterwards you know whether it fits and which entry point is right. Or write to us, one sentence is enough.
“You can simply rely on him.”
5.0 from 8 Google reviews
As of October 6, 2026. We don't verify whether reviews come from clients.On working days we usually reply within 24 hours.
Next open project start: Monday 26 October.