AI chatbots and support agents that answer instantly, resolve the repetitive questions, and escalate the rest cleanly to your human team — grounded in your own content.
Last updated: 11 June 2026
AI customer service uses chatbots and AI agents to answer common questions instantly, deflect repetitive tickets, and escalate the rest to humans — grounded in your own content so it does not invent answers. Crux Digits ships it at fixed prices: a €2,500 audit, a €20,000 proof of concept, and production from €50,000.
It is not a bigger FAQ page. A well-built system reads the question, finds the answer in your own knowledge base, and either resolves it or hands off with full context — so your team spends its time on the tickets that genuinely need a human.
Both have their place. A retrieval chatbot answers questions; an AI agent also takes action. We help you pick the right one for the job — and often the answer is a chatbot first, an agent later.
| Dimension | Retrieval chatbot | AI support agent |
|---|---|---|
| Best for | Answering questions from your content | Completing tasks: lookups, updates, actions |
| Behaviour | Finds and explains the right answer | Reads context, then acts in your systems |
| Integrations | Knowledge base, docs, website | CRM, order system, ticketing, internal APIs |
| Risk profile | Lower — it informs, humans act | Higher — needs guardrails and approval steps |
| Start here if | Most of your tickets are repeat questions | You want to automate whole workflows end-to-end |
The difference between a demo and a system you can trust is grounding. We build on retrieval-augmented generation (RAG): every answer is pulled from your documents, policies and product data, with citations back to the source. If the answer is not in your content, the assistant says so and escalates — it does not guess.
Everything is built EU AI Act-ready and AVG/GDPR-proof: your data stays under your control, answers are traceable, and you own the code. No black box, no lock-in, no customer data leaking into someone else's training set.
No open-ended retainers and no surprise invoices. We work in three fixed-price bands, so you know the number before we start:
We de-risk it in stages instead of asking you to buy a big platform on faith. The audit tells you what is worth automating. The proof of concept proves it on your real content and tickets. Production hardens it, integrates it with your ticketing and CRM, and hands you a system you own outright. You can stop after any stage — but most clients do not want to.
Fixed prices: €2,500 audit, €20,000 proof of concept, production from €50,000. You know the total before we start, with no open-ended retainer. The audit scopes your content and ticket volume; the proof of concept runs on your real knowledge base rather than a demo set.
Start with a chatbot if most tickets are repeat questions. A retrieval chatbot answers from your content. An AI agent goes further and takes action in your systems — order lookups, status updates, refunds. Agents carry more risk, so they need guardrails and approval steps.
Yes. It answers each customer in the language they wrote in, from the same knowledge base. Dutch and English are both handled natively, and other languages work too. You do not need a separate bot or a translated knowledge base per language.
It is built not to. Every answer comes from your content via retrieval-augmented generation, with a citation to the source. When the answer is not in your knowledge base, it says so and escalates to a human instead of guessing. You can inspect that behaviour in the code.
The audit takes 1–2 weeks; a proof of concept 4–6 weeks. Production runs from 8–12 weeks and depends on the integrations — ticketing, CRM, internal systems — which get scoped precisely during the audit. That scoping is what stops the later timeline from slipping.
Start with a €2,500 audit: a clear, honest read on what to automate first, what it will cost, and what it will return. No open-ended retainers, and you own everything we build.
Book your AI-readiness audit