Vom AI-Hype zum laufenden System

AI POC — built, shipped, measured

The flagship package. I don't hand your use case to a dev team you have to translate for — I build the first system myself, ship it, and we measure what it actually does.

Who it's for

Companies that know which use case matters — usually because Discovery just ranked it first — and now need proof instead of opinions. The C-level wants certainty before committing real budget; the Head of IT wants something they can log into, inspect, and question.

What happens

• We define the success metric before I write a line of code — what the system has to do, on your data, to count as a success.
• I build the proof of concept myself — production quality, running on your data, with the technology that fits your business and your existing IT landscape. No subcontractors, no junior team.
• Your team logs in and uses it. Not a demo video — a system your people can try on real work.
• We measure the result against the metric we agreed on.

I won't promise you a blanket savings percentage. I'll give you a number you can verify.

Duration and price

Time-boxed. Fixed scope, fixed timeframe — agreed up front.

Engagements start from €5,000 per month. Every package is fixed-scope — the exact price is agreed up front, before any work begins.

Deliverables

• A working POC on your data that your team can log into.
• The source code — it's yours.
• Architecture notes and security answers, handed to your IT.
• The measured result against the agreed success metric.

What you have at the end

A running system and a verified number. With both in hand, the next decision — scale it, adjust it, or stop — is a business decision with known, limited cost behind it. That is what De-risked AI means.

The rungs around it

Before: AI Discovery picks and scopes the use case. After: AI enablement hands the system — and the capability — to your team. See how the three packages fit together, or see AI systems in production.

Proof: shipped to production — a RAG diagnostic platform for 50,000+ mechanics, processing 2M+ queries/month.