We look at how you work and tell you where AI saves you time, and where it doesn't. Then we build it and stay to keep it running, as we do with our own products.
Jobs someone does by hand today. Before we build one, we test it on your data.
They answer your customers on chat, WhatsApp and email, at any hour and in the language they write in. They know your products, your prices and your rules, and when a question is delicate they hand the conversation to a person, with everything said so far written down.
Requests arriving by email, forms and chat become tickets that are already sorted: category, priority and the person they belong to. Whoever wrote in gets an answer straight away, and whoever picks the ticket up finds that customer's history ready, without looking for it.
Manuals, specifications, contracts and procedures become one place to ask, in plain words. The answer comes with the document it was taken from, so you can check it instead of trusting it.
Invoices, orders, delivery notes and contracts read as they arrive: the data you need ends up in your system without anyone retyping it. Anything unclear stops and waits for a person, instead of being guessed at.
Calls and meetings transcribed and summarised, with the things to do and who does them at the end. What you write once comes out in the languages you need, in the words you actually use.
Not another window to keep open: the AI goes into the management system, the CRM and the online shop you already have, and works where you work. If you change tools tomorrow, it moves with you.
We sit with you and with the people who do the job every day.
A test on your data. If it doesn't work, you find out before investing.
How much time it saves, what it costs to build and what to keep it running.
More and more customers ask ChatGPT instead of Google: we make you readable and quotable there too. Whether it then names you, nobody can guarantee, us included.
None is good at everything: cost, how well it reads long documents and where your data ends up all differ. The choice is made on your case.
No compulsory retainer. The model account is in your name and stays yours.
It means putting it inside work you already do, not adding a chat bubble to the site. The cases that work most often: searching your own documents and getting an answer with its source, answering and sorting what arrives by email, and pulling data out of documents someone currently retypes by hand.
Often not, and we say so. For plenty of projects a proper search, a better form or a person answering is cheaper and gives the same answer every time. AI earns its cost when the work is made of text, of requests written in ever different ways, and of cases no rule covers.
Before answering, it looks inside your documents and uses what it finds there. So it answers from your own current data and tells you which file the answer came from, and you can check it. Without that step an AI answers from memory, and sometimes makes things up.
No, when the project is set up properly, and we put that in writing. We use providers and plans that exclude training on submitted data, or models running on dedicated infrastructure. It is one of the first things to decide.
The first call is free of charge: you leave knowing what is worth doing, and what is not.
