Intelligent chatbots that actually help.

Why most chatbots frustrate clients instead of helping

A generic chatbot answers from nothing. It hallucinates, loops, and pushes your client toward a contact form they already gave up on. The result is more tickets, not fewer, and a brand that feels cheaper than it is.

A useful intelligent chatbot is different because it has three things the generic ones lack: real context, real actions, and a clean exit to a human. Get those right and the bot becomes a quiet member of your support team rather than a wall between you and your clients.

• Generic bots guess. Wired bots answer from your knowledge base.
• The cost is not the software, it is the trust you lose with a bad first reply.
• The handoff to a human is a feature, not a failure.

How we build a chatbot wired into your data

We do not drop a template on your site and walk away. We build the chatbot around your content, your systems and the questions your clients actually ask, then we measure and improve it. Here is the process, step by step:

• 1. Map intents: we collect the real questions from your inbox, chat logs and sales calls.
• 2. Connect knowledge: we wire the bot to your documents and FAQs using RAG, so every answer is grounded in a source.
• 3. Connect tools: we integrate your CRM, catalogue and business tools so the bot can look things up and act.
• 4. Design the handoff: we define exactly when and how the bot passes a conversation to a human with full context.
• 5. Deploy across channels: website, WhatsApp, Messenger, Teams or Slack, with one shared brain.
• 6. Measure and tune: we read the logs, find the gaps, and improve answers week after week.

What a context aware chatbot actually does for you

An intelligent chatbot built on RAG retrieves the relevant passage from your own knowledge base before it writes a single word, so the answer is grounded in your documents rather than invented. When a client asks about a delivery, a price or a policy, the bot pulls the real source, cites it, and replies in your tone of voice. When the request needs a human, it does not dead end: it summarises the conversation and routes it to the right person on your team with full context attached. Every exchange is logged, so you see which questions come up, where the bot struggles, and what to improve next. That feedback loop is what turns a chatbot from a gimmick into an asset that deflects routine load, shortens response times, and frees your senior team to handle the conversations that genuinely need a human touch.

We build this for real commercial operators, not demos. For Legumes Express, repetitive order and delivery questions used to land on the same inbox every morning; a grounded chatbot now answers them from the live catalogue and routes only the edge cases to a human. For rs detailing, the bot qualifies booking requests before they reach the team, so the first reply is instant and the people doing the work stay focused on the work. Same method every time: real sources, real actions, a clean exit to a senior human, and logs that prove what changed.

• Sourced answers your clients can trust, in your brand voice.
• Actions wired to your CRM and catalogue, not just chitchat.
• Logs and analytics that show you exactly what to improve.

Who an intelligent chatbot is for

This is for Swiss SMBs and growing commercial companies whose support, sales or operations team is drowning in repetitive questions that already have answers somewhere in the company.

If you have a knowledge base, a CRM and channels where clients reach you, a well built chatbot pays for itself in deflected tickets and faster replies. If your questions are highly bespoke and low volume, we will tell you honestly that a chatbot is not the right move.

• E-commerce and service businesses with high question volume.
• Teams that answer the same questions every single day.
• Companies already on WhatsApp, Teams, Slack or live chat.