Each use case starts from an operational decision: what to target, how to classify, which file to reconstruct, which capability to transfer and how to measure the result.
The MAATAI Risk Management suite covers targeting, product classification, case reconstruction and auditability. Training and advisory missions complete the suite when a durable capability has to be installed.
The need is to prioritize declarations, operators or flows for control without slowing legitimate trade unnecessarily. Sentinel helps build explainable scores, compare profiles, track control outcomes and adjust rules through operational feedback.
Products used: MAATAI Sentinel, with MAATAI Forensic support when documentary justification must be deepened.
Commercial descriptions are often vague, multilingual or incomplete. Nomen helps officers connect descriptions, invoices, technical documents and tariff reasoning to produce a clearer and more defensible classification note.
Products used: MAATAI Nomen, with MAATAI Sentinel when classification also feeds risk targeting.
When a case combines invoices, declarations, transport documents, value changes, sensitive origins or inconsistencies, Forensic helps reconstruct the timeline, reconcile documents and make discrepancies auditable.
Products used: MAATAI Forensic, with MAATAI Nomen for classification questions and MAATAI Sentinel to connect signals to the initial targeting decision.
The training connects customs concepts — profiling, targeting, control outcomes, compliance and facilitation — with data and AI methods: data quality, indicators, models, explainability, limitations and production monitoring.
Products used: Sentinel, Nomen and Forensic as practical training supports. View the training offer.
The advisory work helps select use cases worth piloting, prioritize data readiness, define proportionate governance and build a roadmap that connects investment, operational value and risk control.
Products used: depending on scope, Sentinel, Nomen, Forensic and Useful AI scoping tools. View AI strategy advisory.
A good system does not stop at a score. It must document the data used, rules applied, explanations, human decision, overrides, control outcomes and subsequent adjustments.
Products used: Sentinel for targeting, Nomen for product logic, Forensic for documentary traceability.
Before building, define which decision changes, which data proves it, which suite product applies and which limitation must remain visible.