Web Chat Assistant
Stop leaving site visitors unanswered — turn them into qualified requests
A chat assistant embedded in your corporate site and trained on your product and service information. It answers visitors' questions, understands which product they are after and passes the request to your team in structured form. Visitors arriving outside office hours are no longer lost.
- Trained on your own product data
- Multilingual
- Requests arrive as structured data
Sound familiar?
The common problem of companies with traffic but no enquiries.
Visitors leave without asking
A visitor who cannot find what they need closes the tab instead of filling in a form. Traffic exists, requests do not.
After-hours visitors disappear
Evening and weekend visitors get a reply the next day — by which time they already have an answer from a competitor.
The same questions answered over and over
Delivery time, stock status, technical compatibility — the team spends a large part of the day on repeats.
Requests arrive incomplete
Form submissions do not say which product or what quantity, so sales has to start by asking.
What the service does
From conversation to structured request.
Trained on your data
Trained on your product catalogue, service descriptions and FAQs. Not a generic chatbot — an assistant that speaks your knowledge.
Product and service questions
Answers specification, compatibility and scope questions from your catalogue, and does not invent what it does not know.
Structuring the request
Product, quantity, contact details and a summary of the need are extracted from the conversation and passed to your team as a complete request.
Multilingual
Speaks the visitor's language, handling traffic from different markets without separate setups.
Corporate look and feel
Colour, position and greeting are adapted to your site design, so it does not look like a bolted-on widget.
Handover to a human
For anything the assistant cannot resolve, the conversation is handed to your team with its history. The visitor never has to repeat themselves.
How it goes live
It starts by connecting your knowledge source.
- 1
Gathering knowledge sources
1-2 daysProduct catalogue, service descriptions and FAQs are compiled, and the boundaries of what the assistant will discuss are set.
- 2
Training and tone tuning
3-5 business daysThe assistant is trained on your data; corporate tone and the topics it answers versus hands over are configured.
- 3
Testing and site launch
2-3 daysIt is tested with real questions and answers are reviewed; after approval it is embedded in your site.
- 4
Go live and monitor
OngoingAfter go-live, accuracy rates and cost are monitored, and rules are refined as edge cases surface. You work with a single contact over WhatsApp.
Who it fits
A chat assistant returns clearly in these cases.
Companies with a wide product range
When finding the right product is hard, the assistant guides visitors through the catalogue and rescues the request.
Sites with international traffic
Answering visitors in their own language around the clock is not achievable with a human team.
B2B companies selling technical products
When compatibility and technical detail questions block the purchase decision, a fast answer converts directly.
Why work with us
Every call is costed
The cost of each AI call is recorded to the cent. No surprise invoice at month end — you see exactly what each operation consumed.
Every value cites its source
Produced values tell you where they came from. Anything that cannot be verified is flagged as an "estimate" and never presented as fact.
Not a prototype — a live system
We operate the technology we describe inside the daily operation of a European industrial supply group. We do not sell what we have not run in production.
Not included
Clarifying expectations.
- Answering phone calls — our OZVA voice assistant covers that
- Taking orders and collecting payment (e-commerce integration scoped separately)
- Website development (available with our website service)
- Inventing information not in your catalogue — the assistant says when it does not know
Frequently asked
Let's try it on your own catalogue
We will set it up on part of your product data and show how it answers real questions.