Chatbots & Conversational AI
Conversational AI that answers from your data
At a glance: we build chatbots and AI assistants grounded in your documents, product data and internal knowledge — with citations, conversation memory and escalation to humans. The result is an assistant that answers like your best employee, on your website, in your tools, 24/7.
What we deliver
- Customer-facing assistants — website and product chatbots that answer from your real content (docs, FAQs, catalog), qualify visitors and hand off to your team.
- Internal knowledge assistants — an assistant over your wikis, procedures and past tickets, so onboarding and support get faster from week one.
- Retrieval grounding (RAG) — answers grounded in your sources with citations, proper chunking and re-ranking, so the bot says “I don't know” instead of inventing.
- Escalation & analytics — conversation transcripts, escalation rules and dashboards showing what customers actually ask.
What a grounded chatbot changes
Answers with sources
Retrieval-augmented answers cite the document they come from — critical for support, legal and regulated industries.
24/7 first-line support
Common questions get instant, consistent answers; your team handles the judgment calls, not the repetition.
On your channels
Website widget, WhatsApp, Slack, Teams or embedded in your product — where your users already are.
GDPR-friendly options
Run the model on your own infrastructure with open-weight models — see our open-source AI deployment service — or on EU-hosted APIs under a data agreement.
How we work
Discover
We review your current support/sales load and pick the question categories a bot should own first.
Design
We design the knowledge base, the retrieval setup, the tone and the escalation rules.
Deploy
We build, integrate with your channels and ship to production with monitoring.
Enable
We train your team on transcripts and analytics so the bot improves every week.
Common use cases
Customer support
First-line answers from your docs and past tickets, with clean handoff to humans.
Sales & qualification
Bots that answer product questions, capture context and book calls into your calendar.
Internal helpdesk
HR, IT and procedure questions answered instantly from your internal knowledge.
Product-embedded assistants
An assistant inside your SaaS that guides users from your documentation.
Pricing
A scoped chatbot project typically runs €1,500–€10,000 depending on integrations and knowledge complexity — confirmed by a quote before we start.
For context on budgets and ROI, see our article on how much AI automation costs.
Frequently Asked Questions
How is this different from the chatbot plugins we tried?
Plugin bots answer from generic scripts. We build assistants grounded in your actual content with retrieval (RAG): the bot searches your documents, cites them, and admits uncertainty instead of inventing. That difference is what makes an assistant trustworthy enough for customers.
Will it invent answers?
The retrieval setup is designed to answer only from your sources, with citations. When the answer is not in the knowledge base, the assistant says so and escalates to a human. We also run evaluation sets on your real questions before launch.
Which languages does it support?
Modern LLMs handle French and English natively, and most European languages well. We test on your real customer phrasings — including typos, slang and mixed-language messages — before launch.
Where does the data go?
Your choice: EU-hosted APIs under a data-processing agreement, or fully self-hosted open-weight models on your infrastructure so nothing leaves your walls. See our open-source AI deployment service.
How long does deployment take?
A first scoped assistant typically ships in a few weeks: knowledge base cleanup, retrieval setup, channel integration, then a supervised pilot before full rollout.