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Applied AI, where it truly saves you time

No hype. We put AI where it cuts time, inside the tools you already use and on your own data.

Applied AI isn’t useful “because it’s trendy”: it’s useful where it saves you real hours. The right question isn’t “how do I use AI”, it’s “which repetitive work weighs on me most”. From there we work out where it makes sense for you and where it doesn’t, and we only put it there.

Useful AI works on your data and inside the tools you already use, it isn’t yet another separate program to learn. An assistant that answers over your documents, automatic classification of emails and requests, draft text, first-line customer support: all things that cut repeated minutes off every task.

The risk of AI in a business is spending on an experiment that doesn’t pay off. That’s why we start from a concrete, measurable case, where you can compare the time before and after. If it works there, we expand; if it doesn’t pay off, we tell you and stop.

Everything stays under your control. We decide together what the AI can see and what it can do, with clear limits and technical choices suited to the confidentiality of your data. We build it and maintain it, end-to-end.

What’s included · Applied AI

  • 01

    Assistants on your data

    Ask in plain language and get answers drawn from your documents, contracts and records, with the source cited, not made-up answers.

  • 02

    Smart automation

    Classifying emails and requests, extracting data from documents, drafting text: where fixed rules aren’t enough and you need to understand the content.

  • 03

    LLM integrations

    AI inside the tools you already use, called where it’s needed in the flow, not a separate program to open on the side.

  • 04

    Under control

    On your data, with clear limits on what it can see and do. Built and maintained by us, end-to-end.

How we work · Applied AI

We look at your flows and find the point where AI pays off soonest: a repetitive, high-volume task where time is lost today and the margin for error is low. That’s the case to start from.

We build the solution on your data and put it inside the tool you already use. We measure the time before and after, so the value is a number, not an impression. If the case works, we expand to the others.

We set clear limits and controls: what the AI can read, what it can write, where a human confirmation is needed. Then we keep it monitored and updated, so a model or a piece of data that changes doesn’t leave you with a wrong answer.

Concrete examples · Applied AI

  • Answers over your documents

    An office lost time hunting for the right clause across contracts and attachments. An assistant on their documents now answers in plain language, citing the source.

  • Emails sorted on their own

    Incoming requests were read and forwarded by hand to the right department. Automatic classification sorts them on its own, leaving only the doubtful cases to a human.

  • Data pulled from PDFs

    Data was retyped by hand from invoices and documents into a system. Automatic extraction reads it and enters it, with a human check where needed.

Who it’s for · Applied AI

It’s probably for you.

Recognise yourself in one of these? Then we’re already halfway there.

  • Anyone handling lots of documents, requests or repetitive text

  • Companies curious about AI but tired of announcements with little substance

  • Anyone who wants to start from a useful, measurable case, not an experiment

  • Anyone with confidential data who wants clear limits on what AI can touch

How we think about cost · Applied AI

The cost depends on the case: how much data has to be prepared, how complex the integration with your tools is, and the model usage the AI needs to work. An assistant over a few documents is one thing; a system running over thousands of cases a day is another.

The measure is the return: a case that removes repeated hours every day pays off fast, a marginal one may not. We start from the case where the maths works soonest, and we tell you if it doesn’t work at all.

A clear quote before we begin, and no hidden cost: you pay for the solution you need, not an AI platform full of features you won’t touch.

Frequently asked questions · Applied AI

Is AI on my data safe?
We work on your data with clear limits and technical choices suited to confidentiality. We decide together what the AI can see and do, and where a human confirmation is needed before it acts.
Where should I start?
From a concrete, measurable case, a repetitive task that weighs on you today. We make it work there, measure the time before and after, then expand only where it makes sense.
Do I need to be a large company?
No. Even a small business has repetitive tasks where AI saves hours. What counts is the concrete use case, not the size.
Can AI give wrong answers?
It can, if you leave it without controls. That’s why we build it on your data with the source cited and clear limits, and keep a human check where a wrong answer would cost.

Read more and solutions · Applied AI

Other services

Let’s start here

Got something to build?

A couple of lines about the project. We actually reply, and we start from there.

Write to us →hello@giadalabs.com