AI is no longer a differentiator in 2026 — it is a tool. The question is not whether, but for what. We help you ask the right question.
03 — AI
AI Solutions
AI that solves a concrete problem — not AI for AI's sake.
Who this fits
Mid-market with knowledge islands
Your team loses time because knowledge is scattered. A RAG solution on your internal docs can change that.
Service teams under volume pressure
Classification and triage of tickets, invoices, emails — workflows that relieve your people without replacing them.
How we work
- 01
Discovery
Concrete problem, data audit, pattern choice
- 02
Pilot
Prototype with real data and real users
- 03
Build
Production integration with monitoring and fallback
- 04
Operate
Drift monitoring, model updates, edge-case maintenance
What you get
- Pattern recommendation with a clear use case
- Pilot application with measurement
- Production system with monitoring
- Handover documentation for your IT team
Price range
from €22,000 net
Pilot phase €8,000, production depending on complexity.
Frequently asked
Which models do you use?
GPT-4 and Claude for general tasks, Llama or Mistral self-hosted for sensitive data, classic ML for prediction. We choose per use case.
What about GDPR and data sovereignty?
Sensitive data stays in the EU or with you — Azure OpenAI EU or self-hosted models in such cases.
What if the model hallucinates?
We build RAG with source citations so users can verify. Plus confidence scores, fallback paths, regular audits.