We have seen or been there: an afternoon of vibecoding and you've got an app with an AI feature that actually impresses people. Then the real questions start. Where does the model run, and is it allowed to see that data? How does it reach our tools? Who stops it from saying something embarrassing to a customer? The one-day demo quietly turns into a quarter of platform work — while AI itself moves on weekly.
The ITQ AI Use Case Factory is built for that exact moment: the plumbing (models, tool access, retrieval, guardrails) solved once, on private infrastructure, so an app with Private AI features goes from laptop to production in a day, not a quarter. Internally first, then at our customers.
This talk is for you if you:
- build or vibecode apps and want your AI feature hosted, secured and used by real people — not stuck on your laptop
- sell, and keep hearing "great PoC, but how do we get this into production?"
- lead a team or the business and want a concrete picture of where AI at ITQ is heading
I will open the hood for an honest tour: what's inside, what we dropped, and what we'd build differently.
