How RAG works
The answer comes only from your content, with a source. If nothing is found, the assistant hands over to a human.
AI & automation · answers from your knowledge – not from the internet
Our assistants answer only from your approved content, cite the source and hand edge cases to humans.
What happens here
Answers from your approved content.
With a source – for customers and for the team.
The red seal
People give the final approval.
First a measurable pilot at a binding price after the first consultation. We scale up when the numbers add up.
60 to 80 per cent of enquiries are repeats – delivery times, opening hours, prices. Internally, the team asks every day: “Where was that again?”
Standard question
Do you also deliver to Austria?
Yes – deliveries to Austria take 3–5 working days, free shipping from €150.
Source: shipping terms, section 2 – as of 03/2026
Edge case – handover
Can you change the discount on invoice 2481 retrospectively?
I cannot decide that myself – I have passed your enquiry to accounting. They will get back to you today.
Handed to a human · conversation context attached
Answers only from approved sources, edge cases go to humans – no guessing.
Prices are net and exclude statutory VAT. Our offers are directed exclusively at entrepreneurs within the meaning of Section 14 of the German Civil Code (BGB).
Which questions come in, and where are the answers?
Start with the most common cases. Anything it is unsure of goes to a human.
Handover rate and knowledge gaps show where it needs to grow.
The answer comes only from your content, with a source. If nothing is found, the assistant hands over to a human.
The Customer assistant needs tight guardrails. The internal assistant may dig deeper – with rights per role.
Processing in the EU, on your own infrastructure if you wish. Your data does not train anyone else's models, and access is logged.
Yes, and they learn it at first contact. Since 2 August 2026, Article 50(1) of the EU AI Actthat an assistant identifies itself as an AI system – visibly, understandably and accessibly, not hidden in the imprint. We build the notice into the chat window from the start and avoid human-sounding fantasy names without clarification. That is better operation anyway: an assistant posing as a human gets found out and damages trust.
From the sources you provide: website, documents, FAQ, internal instructions. It answers only from those, names the source – and if it finds nothing, it says so and passes on instead of guessing.
That is exactly what the RAG architecture prevents: the answer must be demonstrable from found passages of your knowledge. Edge cases go to a human. There is no hundred per cent in technology – but „with a source or not at all“ is a different level of safety from free invention.
A clean handover to the right person – including the conversation so far, so your customer need not repeat anything. For us the handover rate is a metric, not an embarrassment.
Yes: EU processing, no model training on your data, access logged. For sensitive documents we build the knowledge layer on your own infrastructure.
The assistant synchronises from your sources – change the shipping terms and the answer changes. We set up the maintenance workflow so updating is not a project but a simple action.
Absolutely – that is exactly what we recommend: a pilot with the 20 most common questions, tested internally, put live, measured. What proves itself gets extended. Setup from about 3,000 euros.
Free consultation at a fixed appointment – or a non-binding price range first.
Free consultation Request a quote
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