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Tous les différenciateurs

Monitoring that keeps working after client acceptance

Sceau treats onboarding as the start of the file, not the end of it. It keeps watching lists, counterparties, transaction patterns and relationship risk so the office sees what changed before a reviewer does.

The operational failure mode in AML is not usually ignorance of the rule. It is drift: a client was clean at onboarding, then a sanctions list moved, a counterparty appeared, a transaction pattern changed, or a hidden connection surfaced months later.

Dans le workflow

  • Sanctions and open-source PEP layers can be re-run as source data refreshes, with dated evidence of what was checked and when.
  • Adverse-media screening is structured rather than vague: source, date, risk category, exact matched terms and review band stay attached to the screening row.
  • Transaction monitoring and relationship-risk detection raise explainable triggers instead of quietly changing a client score in the background.

Pourquoi c'est crédible

  • Deterministic transaction typologies with stored explanations and engine version
  • Organization-scoped relationship analysis that never crosses tenant boundaries
  • Dated screening evidence, including source labels and review bands

Transaction-aware monitoring

The office can record transactions and let the platform apply deterministic typologies such as structuring, cash-limit breach, value inconsistency, third-party funding, geographic anomaly, velocity and circular movement. These are not mysterious model scores; they are rule-backed flags with explanations.

Hidden-connection detection

Relationship risk does not live only in one client file. Sceau rebuilds an organization-scoped graph from ownership structures, onboarding data and transaction counterparties, then highlights shared UBOs, addresses, accounts or counterparties that create a meaningful hidden link.

Honest source labelling

Where coverage depends on open-source or self-hosted sources, the platform labels that clearly. That preserves the brand promise: strong automation, but no pretending that a demo feed is a premium licensed dataset if it is not.

Ce que cela change en pratique

  • The office sees what changed since intake instead of restarting each file from zero
  • High-risk changes arrive as explainable queue items, not as surprise findings
  • Monitoring becomes a routine system behavior instead of a memory-based task
Conçu pour le jour où l'on vous demande non seulement ce que l'étude a décidé, mais aussi ce qu'elle savait à ce moment-là et comment cette décision se vérifie encore ensuite.

Capacités liées

A compliance record you can independently verify

Every material action lands in a tamper-evident chain, historical decisions can be replayed against the inputs that existed at the time, and scoped inspectors can review the file without entering the office workspace.

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A real operational cockpit for the AMLCO and the office owner

The dashboard is not decorative. It aggregates live portfolio data into review backlog, exposure, STR funnel, flagged transactions, relationship alerts and assurance status so the office can run compliance as an operation.

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When the rules change, Sceau shows the operational impact

Regulatory change proposals, affected-rule mapping and governed rollout help the office understand what changed, what it touches and what needs validation before a new rule posture goes live.

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Réserver une démonstration ciblée

Réservez une démo de 30 minutes : nous onboardons un client test en direct, déclenchons une alerte de filtrage et exportons votre premier dossier d'inspection — votre profession, votre pays, votre autorité.

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