AI chatbot
Text conversation
Best for your website, Messenger, WhatsApp and helpdesk. Works well for FAQs, lead qualification and customer support in written channels.
Text channels · Knowledge base
We build AI chatbots that answer customer questions, qualify leads and provide support around the clock without tying up your team. We deploy them where your customers already are: on your website, in Messenger, on WhatsApp or in your helpdesk.
Definition
An AI chatbot is a virtual assistant that holds a text conversation with a customer or employee, draws on a knowledge base and can trigger the next steps of a process. It can answer a question, collect details, qualify a lead or hand the conversation over to a person.
A good chatbot does not pretend to know everything. We design it with a clearly defined scope, verified knowledge sources, escalation rules and integrations with the systems that take over the next step once the conversation ends.
Know the difference
The distinction matters because each one comes with different channels, risks, integrations and success metrics.
AI chatbot
Best for your website, Messenger, WhatsApp and helpdesk. Works well for FAQs, lead qualification and customer support in written channels.
AI voicebot
Built for answering and placing calls, sending reminders, booking appointments and qualifying leads over the phone.
AI agent
Goes beyond conversation: analyzes data, uses tools, runs workflows and creates tasks directly in connected systems.
Channels and use cases
The best chatbot use cases sit close to the customer — wherever questions repeat, details need to be collected quickly or a case must reach the right person.
Website
The chatbot answers questions about your offer, collects contact details and qualifies visitors before they talk to your team.
Messenger
Instant replies, lead handoff to your CRM and escalation to a person when a decision is needed.
A convenient channel for quick questions, status checks, confirmations and first-line support.
Helpdesk
The chatbot recognizes the topic, fills in missing information and routes the case to the right queue.
Knowledge base
Responses come from a controlled knowledge base, which keeps them consistent and reduces the risk of made-up answers.
CRM
After the conversation the chatbot sends the data to your CRM, adds a tag, creates a task or triggers a workflow in n8n.
Conversation safety
Every implementation starts by agreeing what the chatbot may talk about, which knowledge base it uses, when it should admit it does not know the answer — and when it should pass the conversation to a person.
We design conversation logs, escalation rules, the scope of personal data processed (with GDPR in mind) and system integrations so the chatbot never makes decisions that belong to a human. Users are told they are talking to an AI assistant, in line with the transparency expectations of the EU AI Act.
Implementation process
A chatbot should be part of a process, not just a chat window. That is why the project covers content, channel, integrations, escalation and answer-quality measurement.
We define the topics the chatbot covers, its knowledge sources, off-limits topics and the rules for escalating to a person.
We choose the channel — website, Messenger, WhatsApp or helpdesk — and connect it to your CRM, email or automation tools such as n8n.
We test answers on typical questions, edge cases and conversations that should trigger escalation.
We set up logs and metrics, review conversations, update the knowledge base and roll out further automation scenarios.
FAQ
It is a text-based assistant that answers customer questions using your knowledge base, collects details and can trigger the next steps of a process automatically. Unlike rule-based bots, it understands questions phrased in many different ways.
A chatbot works in text channels such as your website, Messenger or WhatsApp. A voicebot handles spoken phone conversations, which requires speech recognition, voice synthesis (for example with ElevenLabs) and real-time turn-taking.
Yes. After a conversation it can create leads, add tags, save the conversation history, create tasks and trigger workflows, for example in n8n. That way a chat ends with a concrete next step rather than a transcript nobody reads.
Yes, and it is a key part of every implementation. Handoff is essential for complaints, sensitive topics, high purchase intent or whenever the chatbot is not confident in its answer.
We limit it to a controlled knowledge base, define topics it must not discuss and instruct it to admit when it does not know. We then test it on real questions and edge cases and keep reviewing conversation logs after launch to close gaps.
Related
A chatbot is one channel in a wider customer process. These services usually complete the picture.
Services
Natural-sounding phone conversations with ElevenLabs, connected to CRM via n8n.
Learn moreServices
Agents that analyze emails, tickets and documents — with a human in the loop.
Learn moreServices
Workflows, APIs, webhooks, self-hosting and monitoring.
Learn moreSolutions
Chatbots, voicebots and n8n that answer, route and escalate every request.
Learn moreYour first AI chatbot
On a call we will agree on the channel, knowledge base, question scope, integrations and the moments when the chatbot should hand over to a person.