The old flow
A broker receives PDFs. They re-key fields into TSS. They pick a commodity code. They validate mentally. They submit. Errors surface as rejections and get chased manually.
The AI-in-the-loop flow
Documents land in the workflow queue. Extraction reads invoices, packing lists, and transport documents. The validation engine checks format, consistency, and TSS constraints. Classification proposes a code with alternatives. The reuse layer flags known lines. The broker reviews, corrects low-confidence fields, and submits.
Why "in the loop" matters
A person still owns risk decisions, procedure choice, and communication. This is the reallocation model at the centre of the what AI can and cannot do in TSS piece.
Handling low confidence
Route below-threshold fields to a review queue. Do not silently accept. Every override enters the audit trail with reason and reviewer.
Handling peaks
Supplementary declaration deadlines create surge weeks. Design the queue for horizontal parallelism and pre-warm the review team. This is where AI pays back its licence.
Handling first-time products
Skip auto-reuse. Send to a specialist. Create a fresh product record with attributes for future recognition.
What success looks like
Fewer rejections. Faster median declaration time. Stable staff numbers absorbing higher volumes. A clean audit trail on every submission.
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