Writing
Laurent Groult has been publishing on why AI fails inside content systems, and what has to be true for it to work. The thinking underneath Pilot.
How AI Exposes DAM's Ownership Illusion
The simple story of who owns an asset, a creator field and some metadata, falls apart once work arrives from many sources at once. AI did not break digital asset ownership, it revealed a crack that was already there.
Read it on Digital Asset Management NewsOn AI Hallucinations
When AI invents an answer, the instinct is to blame the model. The argument here is that hallucination is an information governance problem: the system was fed material with no clear authority behind it.
Read it on Digital Asset Management NewsThe Hidden Architecture Problem Behind AI's Struggles in DAM
AI behaves inconsistently in asset systems because of how those systems are built, not because the algorithms are immature. Fix the architecture and the same AI starts behaving.
Read it on Digital Asset Management NewsThe Quiet Professionals Who Hold the Key to AI Success
The people who spent decades organizing information turn out to hold what enterprise AI needs most. When the output is unreliable, the cause is almost never the model. It is the structure of what you fed it.
Read it on Digital Asset Management NewsThe framework that connects them
The Tripod Theory: How Structure, Authority, and Intent Make AI Work
Three forces hold up any system that automation touches: structure, authority, and intent. Remove one leg and it collapses no matter how strong the other two look.
"AI did not change the rules. It removed the safety net."Read it on Medium
This is not theory we borrowed. It is the reason Pilot is built the way it is: one place, one client record every part reads, and work that carries its purpose from the first call to your books.