AI Agents · Sovereign AI · Build & Leadership
AI agents that actually work
We put them into production inside your company — entirely on your own infrastructure if that is what you need — and guide the build-up until your team can carry it.
Where you are today
Plenty of separate tools. No coherent picture.
"We know AI matters. But where do we start — and how does this become more than a handful of subscriptions?" Almost every company is asking this right now.
Knowledge scattered everywhere
Information sits in SharePoint, on file shares, in mailboxes, in the ERP, in the CRM — and in the heads of individual people.
Unmanaged usage
Your people already use public AI tools. Usually without clear rules, and without anyone knowing which data leaves the building in the process.
IT's concerns are valid
Data protection, permissions, traceability, operations. These are the right questions — they just need an answer other than "later".
Pressure to show results
Management wants measurable value. Not a multi-year programme with an open end and an invoice arriving before the outcome does.
What we do
Three things, done properly
We do not explain AI — we build it, put it into operation, and lead it until your team can take over.
AI Agents
Sales, service, knowledge and proposal agents that work inside your systems. From use case to prototype to production — connected to ERP, CRM, SharePoint and email.
See the agents 02Sovereign AI
Local language models, your own GPU servers, local knowledge systems, hybrid architectures. Your data and your know-how stay exactly where you want them.
See the infrastructure 03Build & AI Leadership
We find the next use cases, own the roadmap and build one agent after another — while making the decisions nobody else is making.
See the roleHow we work together
Step by step. No big bang.
Every step produces a result that stands on its own. After each one you decide again how far to go — and whether to go there with us.
- 01
Workshop
One day at your site. A live demonstration, an honest look at where you are, a scored map of your use cases and a first plan.
- 02
Assessment & roadmap
We examine your data landscape and settle the fundamental questions: build or buy, cloud or local, which architecture holds up. The result is a plan covering the next six to twelve months.
- 03
The first agent
An agent running on your real data that your team uses daily, with a proper data and permissions model. Small enough to arrive quickly, substantial enough to change something.
- 04
Sovereign infrastructure
Where data cannot leave the building, we build the foundation for it: local models, your own hardware, a hybrid architecture. Often in parallel with the first agent.
- 05
Enabling your team
We train the people who will look after your agents. The goal is that you no longer need us for everyday work — only for the hard cases.
- 06
Build & AI leadership
It keeps going: new use cases, the next agent, the roadmap for the year ahead — and the decisions that come with them. For as long as you need it.
Agent packages
Use what works instead of starting over
We have built a sales agent. And a service agent. And a knowledge agent. What differs in your company are the data sources, the vocabulary and the approval rules — not the foundations. That shortens the path to a working result considerably.
See all agentsSales agent
4–6 weeks
Service agent
4–6 weeks
Knowledge agent
3–5 weeks
Proposal agent
3–5 weeks
Management assistant
3–4 weeks
Custom agents
scope dependent
The difference
Why Rüb Studio
We build, we do not just advise
A project ends with an agent that runs and gets used, not with a slide deck. We come from engineering, not from presenting.
Your data stays where you want it
We can build the entire AI infrastructure inside your company — local models on your own hardware. No dependency on a single vendor, no data leaving by accident.
We make ourselves unnecessary
We build up your internal AI people alongside the systems. A dependency that exists only because the client was kept in the dark is not a business model we want.
You decide after every step
No two-year framework agreement. Every step has a result you can judge before committing to the next one.
Let us start with a single day.
In the workshop you see, using a real example, what is possible in your company — and what is not yet. Afterwards you know where to start. Even if you continue without us.