AI that takes real work off your plate

The first question is never which language model to use, but which task is costing you time. Usually that turns up within a few hours: support emails answered the same way every time. Invoices and delivery notes someone retypes into another system. Quotes assembled from the same ten building blocks.

Then we do the honest arithmetic. If a task comes up ten times a year, AI is not worth it - and we will say so. If it comes up a hundred times a week and can be described clearly, it is a good candidate.

A chatbot is only as good as the knowledge behind it. So we connect it to your own sources - product documentation, price lists, manuals, internal guidelines. Technically this works through a search across your documents whose results are handed to the model; the model answers from your material, not from something it once read on the internet. You can see how closely that holds on our own chatbot: ask it where we are based and the answer comes from the same maintained source that holds our Neuhausen am Rheinfall address - change that source and the answer changes with it.

That includes citing its source and saying when it does not know something instead of guessing. For cases it cannot answer properly we define a handover to a person, complete with the conversation so far, so your customer does not have to explain everything twice.

Invoices, orders, delivery notes, forms, applications: AI can turn them into structured data and write it straight into your ERP, your accounting or your database. In the same way, incoming mail can be classified and routed to the right place, or long minutes boiled down to a summary someone will actually read.

The control point matters here. For anything touching money or contracts we build in a short human approval - the AI prepares, you decide. Everything the model does is logged, so you can retrace later how a result came about.

Before a line of code is written we establish which data the system gets to see at all. Personal and confidential content can often be stripped out or pseudonymised beforehand. For the rest we pick providers and regions so the processing fits revDSG and the GDPR, and we put the required data processing agreements in place.

If your data must not leave the building at all, a model on your own infrastructure in Switzerland or the EU is an option - narrower in capability, but entirely under your control. We discuss openly which route makes sense in your case, drawbacks included.