The Challenge
LAUDA employs about 700 people and builds high-precision temperature control equipment — often with a high share of manual work in production. When deploying large language models, data protection and security came first. At the same time, the whole workforce needed prompting skills, and own business processes had to connect into AI — not only generic chat questions.
Why meinGPT
The result was LAUDA.GPT: a company-owned AI platform based on meinGPT, with connected knowledge bases. Own AI apps handle recurring tasks across departments. The Academy accompanies with training so prompting becomes everyday competence — not a one-off workshop topic.
Thanks to meinGPT, introducing artificial intelligence in our company went smoothly.
Solution
Teams work in a secure workspace with leading models — GDPR-compliant and connected to company knowledge. Shadow AI falls away; IT keeps control. Apps and workflows make recurring work productive, while enablement keeps usage broad.
Results
- 86% daily AI usage across the workforce
- 150+ productive AI use cases
- €2.31M savings per year
- 1,400+ working hours saved per month
- 300+ prompts per day
- Used in 5 languages at international sites
The numbers show: at LAUDA, AI is operating practice — not pilot theater.
Conclusion
Productive AI emerges when platform, apps, and Academy run together. LAUDA shows that mid-market companies and global leadership need the same path: start securely, build use cases, measure usage — and put pragmatism ahead of perfection.