AI integrations/ chapter · AI

AI that makes your work easier.

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.

things that work·speaks your language·your data stays yours
/ In short

You don't need to know what AI is.

Just tell us what your day looks like. The things you redo the same way every time, a machine can do: we find which ones, and how much time you get back.

Your working daytodayrepetitive workthe work that matterswith AIthe machine does itthe work that mattershours you get back
/ Examples

Things AI can do for you.

Jobs someone does by hand today. Before we build one, we test it on your data.

01 / 06

Answers customers for you

Chat, WhatsApp and email, at night too. When a person is needed, it hands over.

02 / 06

Searches your own paperwork

Ask like you'd ask a colleague. It answers and tells you which file it came from.

03 / 06

Reads invoices, orders, contracts

It picks out the data and writes it where it belongs. No retyping.

04 / 06

Sorts incoming requests

They arrive already sorted and assigned. No more emails just sitting there.

05 / 06

Listens, writes and translates

Calls transcribed, meetings summarised, text ready in other languages.

06 / 06

Helps where you already work

Inside the system you use every day, not in yet another window.

“What discount doescustomer Rossi get?”you ask like you'd ask a colleagueit searches your own filesprice lists, contracts, specspricelist-2026.pdfit always tells youwhere it read it
Your documents stay yours: nobody uses them to train anything.
Engines we use
ClaudeChatGPTGeminiLlamaWhisper
/ Straight talk

What we WON'T do to you

/01

AI where it isn't needed

Sometimes a tidied-up spreadsheet is enough. If so, we say so.

/02

A ChatGPT with your logo on it

If it doesn't know your data and your rules, it's no use to you.

/03

Projects that never end

We start small, on one thing, and soon see if it works.

/04

Demos that only shine in demos

We test it on the hard cases, the ones that don't look good in a meeting.

/ How we start

First we find out if it's worth it.

1

We watch how you work

We sit with you and with the people who do the job every day.

2

We try one thing only

A real test on your data. If it doesn't work you find out early, and cheaply.

3

We tell you what it costs

How much time it saves, what it costs to build and what to keep it running.

/ GEO

And getting found by AI?

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.

SEOa list of linksyou are hereGEOa single answeryour namecited in the answer
SEO puts you in a list. GEO puts you inside the answer.
/ What we work with

The models we have already put to work.

No single one is good at everything: cost differs, so does how well it reads long documents, so does where your data ends up. The choice is made on your case, and it can change later.

  • Claude
  • Gemini
  • DeepSeek

The model account is opened by you and stays yours: we write the part that makes it work inside your process.

/ Frequently asked questions

The questions people ask.

What does bringing AI into a business mean?

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.

Do I need AI?

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.

How can AI answer questions about my company's documents?

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.

Does my data end up training the model?

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.

We are here after the handover too

Tell us what's on your mind.

First call free. You leave knowing what's worth doing, and what isn't.