Measurable selectivity
Track what was selected, why it was selected and what the control produced.
Customs Solutions · MAATAI Sentinel
Target the right controls, with AI you can justify.
Selectivity and targeting for AI-enabled customs risk management.
MAATAI Sentinel helps customs teams move from static selectivity to measurable targeting: scores, signals, explanations, overrides, feedback and continuous learning.
LIVE
Targeting Note · MAATAI Sentinel
v2.4.1
Declaration
DUC-26-09421
SARL TRADECO · BR-892017
2026-06-29 · 12:42 UTC
Score
87/100
Red channel
Top signals
Unit value — deviation from references
z-score 3.2 · 38% below corridor median
Operator — short history
First import, created < 6 months ago
Route anomaly DE → entry port
Unusual flow pattern for this commodity type
Documents to verify
Original commercial invoice
Certificate of origin
Transaction value justification
Audit trail · Model v2.4.1 · Rules R-VAL-072 + R-OP-014 · #87421
Sentinel in use
From risk score to control decision, in one working view.
The declaration queue, risk score, explanatory signals and operational recommendation are brought together in a view designed for selectivity and targeting. Officers can see why a case has surfaced before they act.
Targeting decision viewScore, signal explanations, decision-maker summary and item-level detail remain in one operational workspace.
Selectivity & targeting
PrioritizeBring declarations and items that need attention to the top of the working queue.
ExplainShow the signals, rules and history that contribute to the risk score.
DecideProvide a readable recommendation while keeping the customs officer in control.
Core principles
Inspect better. Slow down less. Learn continuously.
The purpose of Sentinel is not to multiply controls, but to improve the quality and justification of targeting decisions.
Operational explainability
Give agents and supervisors readable reasons for a score or alert.
Full traceability
Record data versions, scores, rules, overrides and control outcomes.
Learning loop
Use feedback to update risk patterns and targeting rules.
The MAATAI Risk Management suite
Sentinel, Nomen and Forensic are three separate products within the MAATAI Risk Management suite.
Risk management becomes stronger when product intelligence and case reconstruction are connected to the same decision chain.
MAATAI Nomen
Multilingual classification
Analyze product descriptions, documents and HS suggestions.
MAATAI Forensic
Case reconstruction
Rebuild the timeline and evidence trail of complex cases.
Customs Solutions
Governance
Keep targeting rules and AI outputs explainable and auditable.
Discuss a diagnostic or pilot.
A pilot can focus on one office, one flow, one product family or one risk scenario.