Every international shipment has a commercial invoice, a packing list, and a certificate of origin. None of them talk to each other — not in any machine-readable way. That gap has a name, and a solution.

Building the Customs Canon took decades of observation and about three months of writing. The AI part took less time — but it wasn't what I expected. A direct account of which tools earned their place, and what none of them did.

A Trade Line Assertion that closes the gap between the invoice, the physical piece, and the digital credential. An ontology that gives AI a shared semantic vocabulary to reason over trade data reliably.

A short introduction to the Global Customs Canon — the governing doctrine for customs modernisation covering eight pillars, a formal TechSpec, and the standards argument that the field has been missing. Unscripted and direct.

Aviation had IATA. Banking had SWIFT. Both fields had to agree on what their data meant before AI could reason across it reliably. Customs hasn't had that moment yet. The Global Customs Canon is the attempt to change that.

The AI pitch in customs is "we can structure your unstructured data." The honest follow-up question — the one that doesn't get asked in the sales meeting — is: structured according to whose schema?