Everyone is selling AI. CBP is already using it.

Build a global trade data foundation you own — and review the risk before the entry files, the audit lands, or CBP asks first.

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The problem

The government’s copy of your trade data is consolidated — and analyzed. Yours is scattered.

The data behind every entry you file lives across systems that don’t agree with each other — and when it’s inconsistent, incomplete, or disconnected, the risk doesn’t surface until after the entry is filed. At that point it isn’t your finding anymore. It’s CBP’s.

ERP Purchase orders Invoices Supplier records Product master data Freight forwarder files Shipment data ACE records + more

Each holds a piece of the risk. None holds the picture.

Why it matters

CBP is getting better at finding patterns in your data. You need to find them first.

As CBP’s analytics get sharper, importers need to review their own data with the same discipline — before entries are submitted. In practice, reasonable care is shifting from “we have a process” to “we reviewed our own data before we filed.”

The question is no longer “Did the entry file?” It’s “Did you see the risk before it did?”

Machine-learning targeting

CBP’s targeting systems run models trained on entry data, audit outcomes, and global trade flows — flagging price deviations, origin patterns, and supplier connections.

Rising CF-28s, surveys, and audits

Enforcement contact is increasing — driven by predictive analytics that let CBP ask sharper questions, sooner.

AI on the entry lines

CBP is deploying AI that screens entry line items at scale for signals like incorrect tariff codes and misdeclared origin.

What we do

We build the global trade data foundation your trade compliance runs on.

We structure and connect the data that drives import risk — ERP, product master data, supplier records, invoices, shipment and freight forwarder data, ACE records — into one governed model, in your environment.

Then AI-enabled review logic surfaces classification, valuation, origin, supplier, shipment, and documentation risk before entries are filed. The AI flags; experts validate every determination.

Your data stays yours.

How it runs

Four steps. One governed view.

01

Map the data

Where global trade data lives today — across every system and spreadsheet.

02

Structure the foundation

One governed model you own, in your environment — no vendor lock-in, no data held hostage.

03

Review before filing

AI-enabled checks surface inconsistencies, gaps, and risk patterns pre-entry. Experts validate everything the AI flags.

04

Answer with evidence

When the CF-28, survey, or audit comes, the response comes from one traceable view — not a scramble across systems and spreadsheets.

What you get

Risk you see before CBP does — on a foundation you own.

Pre-entry risk visibility

Issues surfaced while they’re still yours to fix — not CBP’s to find.

Readiness for a data-driven CBP

When the question comes, the answer comes from one governed, traceable view.

One connected risk picture

Classification, valuation, origin, supplier, shipment, and documentation signals — in one structured view.

A foundation you own

Built in your environment — ready for whatever runs on it next.

Illustrative

e.g. 8 source systems consolidated into one owned data model — risk reviewed before filing, not after.

Why believe it

There is no working AI in trade compliance without structured data.

That isn’t our claim — it’s how the technology works, and it’s why we build the foundation first. Ours isn’t a concept: it’s built and already in use — engineered the way customs requires, with full traceability, AI that flags, and experts who validate every determination.

More than 20 years of trade and tax expertise behind the review logic.

Where it connects

The foundation is where the rest begins.

The review surfaces the risk. These are the operations that act on it.

Ready to review your data before CBP does?

Request a Data Readiness Assessment or talk to an expert