Caballero had decided early on that he wanted to adopt AI rather than wait for the industry to catch up. But before relying on Tru, he wanted proof.
He ran his own validation, classifying products in Tru and then repeating the same work manually. Tru matched his determinations 99.9% of the time, including edge cases like dried laurel leaves, where Tru surfaced the correct US description (bay leaves), applied the General Rules of Interpretation, and showed its reasoning chapter by chapter.
That transparency changed how the firm works. Instead of a black-box answer, Tru gives the XP team a determination it can verify, explain to importers, and defend. And when the team had product suggestions, Tru built them.