Votre réseau ne peut pas vous dire si le travail a été fait.
Cela peut vous dire que la liaison est active. Que l’entreprise ait réellement fonctionné est une autre question — et elle appelle un autre type de réponse.
Ask a network whether it is healthy and it answers confidently: interfaces up, throughput nominal, no alarms. Ask whether the work got done, whether people could trade, treat, call, transact, and it goes quiet. That is not a question a network knows how to answer about itself. Bridging that gap is what applied AI is for here. Not to run the network, and not to make decisions in the dark. To read the measured signals a site produces all day and turn them into something a person can act on: a plain-language Assessment of whether the network is carrying the work, and where it is starting not to. The important word is Assessment, not verdict. The system explains; the human decides. We hold that line on purpose. A model that quietly makes operational decisions is one you cannot question when it is wrong. A model that explains what it sees, in terms you can check, is one you can trust, and overrule. Applied AI earns its place when it makes a hard thing legible, not when it takes the wheel. Your network can’t tell you if the work got done. This gets you most of the way there, and hands you the last step rather than taking it.