The Risk Scoring model fuses the verdicts of all four BorderRev models into a single 0–100 risk score — with a signal-by-signal breakdown that tells an officer exactly why the flag fired.
Customs systems that check signals independently miss the compounding effect. A 10% valuation anomaly alone might be within tolerance. The same anomaly on a misclassified declaration from a flagged trader on a known transshipment route is a different story entirely.
Manual triage of multiple model outputs is slow, inconsistent, and cannot scale to national volumes. Officers looking at four separate verdicts in four separate systems are not seeing the full picture — they are seeing fragments.
The Risk Scoring model was built to solve exactly this. It holds all signals simultaneously, weights them against each other, and produces a single number that reflects the true compound risk of the declaration.
The Score Engine ingests structured verdicts from each BorderRev model, overlays trader profile and external intelligence signals, and produces a composite risk score in under a second.
Structured verdicts from Classification, Valuation, Origin, and Transfer Pricing. Each verdict carries a confidence level and severity rating that the score engine uses to weight the signal.
Compliance history, prior violations, declaration frequency, and sector risk profile. A first-time importer and a licensed trader with 1,200 clean declarations represent very different risk contexts.
Sanctions hits, watchlist matches, commodity-level intelligence, and anonymised peer-country signals. Intelligence feeds update continuously from BorderHQ's managed data sources.
A 0–100 composite score with a per-signal breakdown. The score maps to an examination queue automatically — no manual triage required.
The four examination bands map directly to workflow queues. No analyst needs to read four model outputs and make a judgement call — the score does it.
Evidence package generated automatically from all four model verdicts and trader profile. Routed to examination queue with officer assignment.
Risk-informed inspection criteria generated from the signal breakdown. Physical inspection criteria provided if documentary review escalates.
Declaration clears immediately. Audit flag retained for review within 30 days. Score and signal breakdown preserved in the audit record.
Declaration passes. Score cached and written back to trader profile to update the baseline. Clean history reduces future scores for this trader.
Every score comes with a per-signal breakdown: which model fired, at what confidence, and how each signal contributed to the composite. Officers trust scores they can interrogate.
When a trader disputes a flag or an examiner wants to understand the basis of a queue assignment, the breakdown is already there. There is no secondary analysis step and no need to pull four separate model outputs.
Two medium signals on correlated dimensions — valuation and transfer pricing both firing on the same related-party group — produce a higher score than their sum. The model detects when signals reinforce each other.
This is the key difference between risk scoring and risk flagging. A flag system tells you how many things went wrong. The score engine tells you how wrong they are together.
Every examination outcome feeds back into the trader's profile. A clean examination reduces future risk scores for that trader. A violation increases them. The system learns which traders are genuinely low-risk and reduces examination overhead over time.
This is not a static whitelist. A trader's score reduction is earned through confirmed clean declarations, not granted by administrative category. And it can be reversed if patterns change.
All scoring runs on-premises. No declaration data, no trader profiles, and no examination records leave the administration's infrastructure. Every score is retained in an immutable audit log.
The audit log is append-only and tamper-evident. Every score entry records the input signals, the weights applied, the composite result, and the routing outcome. An administration can reconstruct any score decision from the log alone.
We offer a short, no-risk trial against a sample of your historical declarations — we return cited findings and composite risk scores across all five BorderRev models. No long engagement, no procurement overhead.