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 object: who raised it, for which client file, how many days ago. The assistant chases it up on its own on working days, never at the weekend, at the rhythm you set (48 hours and three chasers by default). When the answer comes back, it joins the knowledge base. It will never go back to the vendor again.
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 base that stays with you, sourced answers and rights by profile: it is the same power, within a framework you control. And for those who want to go all the way, everything can run on your own machine, conversations included.
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 also make no promise of a universal figure. Published studies measure between 14% and 34% more cases handled, depending on seniority, and field measurements put the requests that get answered without contacting support at between a quarter and almost half. Your own number will depend on your software and your habits.