Customs Hub · 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.

Sentinel workflowv1.0
01
Score
Prioritize declarations, operators and flows.
02
Explain
Show why a case is flagged.
03
Learn
Use control results to improve future targeting.
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.

MAATAI Sentinel · English interface Open full size ↗
English MAATAI Sentinel interface showing the declaration queue, risk score, explanatory signals and inspection recommendation
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.

01

Measurable selectivity

Track what was selected, why it was selected and what the control produced.

02

Operational explainability

Give agents and supervisors readable reasons for a score or alert.

03

Full traceability

Record data versions, scores, rules, overrides and control outcomes.

04

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 Hub

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.

Contact MAATAI-LAB →