Skip to content
ES Let's talk

Solutions · Transform

You want to use AI and do not know where to start

We find where AI takes work off your team without touching what sets you apart, and put it to work with a concrete case that can be measured.

Tell us what you want to solve Try the express assessment

When we get the call

From what is happening to what changes

This is how most enquiries start, and this is what changes once we solve it.

  1. “We want to implement AI, but we do not know where.”

    The right case

    AI goes to the friction around your work, and what makes you the one customers choose stays with your people.

  2. “We tried a chatbot and it stayed a demo.”

    A measured result

    A case in use, connected to your data and measured against a baseline: you know how much it delivered.

  3. “We are worried about what happens to our data.”

    Your data, under control

    You decide what the AI sees, where the data stays and who can access it, before starting.

We explain it in a note

AI does not belong where your value is

Everyone wants to automate the part they do best with AI. That is exactly the part to protect.

Read the note

How we do it

Step by step, with the blocks it takes

  1. 01 Transform

    Choose where

    We map the process and separate what needs judgement from the friction around it. That is where the first case is.

    You keep The chosen case, with its baseline.

  2. 02 Transform

    Test it small

    We get it working with real data and a small group, before opening it to everyone.

    You keep A working pilot, with results.

  3. 03 Transform

    Make it everyday

    We integrate it with your systems, with rules on which data it uses and who sees it, and measure it against the baseline.

    You keep The case in use, measured.

How long it takes A first case in use takes about a month; a programme across several processes, up to six. Scope and price are closed before we start.

What we need from your side

  • Someone who knows the process end to end.
  • Real examples of the questions or tasks that keep repeating.
  • Access to the data the case needs.

What it looks like

An enquiry, before and with AI

An example: a customer request, from the moment it arrives until someone decides.

Today · 5 steps · 4 by hand

  1. 01 The enquiry arrives by email System
  2. 02 Someone reads it and looks up the data Person
  3. 03 Asks the customer for what is missing Person
  4. 04 Waits for the reply Person
  5. 05 Only then passes it to whoever decides Person

With AI · 4 steps · 1 by hand

  1. 01 The enquiry arrives System
  2. 02 AI answers the general part and asks for what is missing AI
  3. 03 The request arrives complete and in order AI
  4. 04 Whoever decides focuses on what needs judgement Person

Questions

What people ask us before we start

Which AI do you use?

Whichever solves the case best: from the main providers or open source, depending on quality, cost and where your data has to stay.

What happens to our data?

We define which data the system sees, where it stays and who can access it, and choose services whose terms do not use it to train models.

Is AI always the answer?

Not always. When a written rule or a simple automation does it better, cheaper and with less risk, that is the way we go.

What if the case needs its own tool?

We build it, on your process and connected to what you already use.

See Build

Next step

Let's start with what is going on

A conversation to understand the problem before talking about technology. If after that there is nothing to build, we will tell you.

Book a call

Or write to us at hello@alubyte.com