Originally written in French. Translated by AI — the meaning has been preserved, not the prose.
Main idea
AI is often expected to make structuring unnecessary: since a model reads everything, it would be enough to hand it the documents. The observed effect is the opposite. An assistant plugged into a shared folder summarizes what it finds without being able to say what is up to date, what was validated, what was only a hypothesis and what has been abandoned since — because nothing in the files says so.
The same assistant plugged into governed material does something else: it knows which sources are authoritative, it finds the decisions already taken, it applies the written rules, it tells a verbatim quote from an interpretation, and it knows what is outside its perimeter. Each of those capabilities comes from human work done upstream — naming, dating, ruling, marking a limit — and from no progress in the model.
Sources of truth, naming rules, explicit decisions and perimeter boundaries therefore matter more as the use of AI spreads. Documentary disorder with a language model added to it does not become intelligent; it becomes faster to hallucinate.
Why it matters
It reverses the order of an equipment plan. Buying assistants before settling the sources of truth amounts to funding the accelerated production of unverifiable answers — and those answers circulate, get quoted, and become material in their turn.
It also gives an operational argument for work nobody ordinarily funds. Naming correctly, dating a decision, marking a source as obsolete has never had a visible return; it is now the quality condition of everything an assistant will produce.
Nuances and limits
Governance has a cost, and not everything has to be governed. Material consulted once, a draft, an exploratory discussion do not deserve to be qualified — the requirement bears on what will be queried again.
And governed material does not protect against everything: an authoritative but wrong source will be picked up with even more confidence.
Open questions
- What share of the qualification work can an organization delegate to the model without erasing the marker of reliability?