Why

What AI is really for in a company

Using AI in a company is judged on ordinary things. The time spent searching. The answers that get lost. What is urgent and goes unseen.

Published on 28 August 2026

Information is scattered

Vendor portals, dense documentation, emails, internal notes. The right answer exists somewhere. Finding it at the right moment costs time nobody counts, because it dissolves into small minutes.

An internal assistant searches all of it at once, and cites where its answer comes from. When it finds nothing, it says so. That is a design choice: we would rather have an "I didn't find it" than an invented answer, however well phrased.

External support runs at its own pace

Getting an answer out of a customer service desk takes hours, sometimes days. And once you have it, it vanishes into an inbox. Six months later, someone asks the same support desk the same question.

With us, a request sent to a vendor becomes a tracked item: who asked it, for which client file, how many days ago. The assistant chases on working days, never at the weekend, at the rhythm you set (48 hours and three chases by default). The answer comes back into the conversation; once approved by an authorised person, it joins the knowledge base and serves the next similar question.

The same questions always go to the same people

It's the experienced colleagues who get interrupted. They answer willingly, and that's precisely the problem: their availability stands in for documentation, and their day falls apart.

The assistant also knows how to point you to the right person when a question really does need a human. It says who has already handled a similar case, and puts the two of you in touch.

Urgent things look like everything else

A formal notice, an audit, a blocked payroll run. Lost in the flow, the urgent looks exactly like the ordinary until the day it is too late.

Incoming requests are reviewed, and those carrying an urgency signal move to the top, with the reason shown. A manager can always correct that by hand: the human hand beats the machine, always.

Generative AI at work, without the risk

Generative AI came into companies through the staff entrance, not through the management door. Banning it doesn't work. Setting a framework does.

A dedicated instance, a database that stays with you, sourced answers and rights by profile: the same power, within a frame you control. The AI provider can be changed in the admin area, and the product knows how to talk to a model installed on your own premises; to write at a comfortable speed, you need a more powerful machine than the one we supply.

What we don't promise

We are not replacing anyone. A patch to apply, a damaged client file, a question that calls for a decision: that is human work, and rightly so. What the assistant removes is the already-answered question being asked again, and the wait for a call back about a procedure spelled out in black and white in a manual.

We do not promise a figure for the gains either: that will depend on your software and your habits.

Demo

Try IntraIA, with nothing to install.