The Challenge

Brand Group supplies lab technology — liquid handling and vacuum technology. Marketing built AI affinity early. Across the rest of the company, customer-case work often stayed manual: documentation, evaluation, selection help — day after day, at three to ten cases.

The goal was clear: carry that early affinity from marketing into the whole company, and connect own company data in a useful way.

Why meinGPT

The introduction ran with SelectCode consulting: workshops, a shared chat group during rollout, hands-on support instead of “drop a tool and hope.” In development, teams automated test evaluation. In parallel, an internal AI tool for customer pump selection took shape — without an external agency.

Solution

meinGPT provided the platform; business units built productive applications on top. Consulting kept the rollout coherent. Value appeared where company knowledge and recurring cases meet — not in generic chat demos.

Results

• About 50 minutes saved per customer case
• At 3–10 customer cases per day, that adds up quickly
• Own tools (including pump selection) running directly on the platform

What started as a marketing initiative became company-wide practice — with tangible relief in case work.

Conclusion

Brand Group shows the typical mid-market path: start where affinity already exists, measure use cases, then take them broad — on a platform where teams can build themselves.