Real-time transaction screening for Mauritius real estate agents and notaries

Mauritius’s national risk assessments have consistently flagged the real estate and notarial sectors as high-risk for money laundering. The FCC Act 2023 sharpened enforcement. Yet most DNFBPs still rely on manual name-checks, spreadsheet logs, and the hope that nothing slips through. That approach has run out of road.

This article is for the real estate agency principal, the notaire, the accountant and the compliance officer at any DNFBP firm wondering how to move from paper-based screening to an audit-ready, real-time transaction screening function — without rebuilding their entire back office.

Why DNFBPs are in the spotlight

Three converging pressures have put DNFBPs at the top of the FIU’s supervisory agenda:

• National risk assessments consistently identify real estate and notarial transactions as vectors for layering and integration of illicit proceeds — particularly via high-value property, escrow routing, and opaque beneficial ownership structures.
• The FCC Act 2023 consolidated the corruption, money laundering and fraud frameworks, and its Guidelines on Legal Persons (2023) introduced the "adequate procedures" standard every firm must now meet.
• FIU supervisory attention on DNFBPs — particularly real estate agents, notaries, jewellers, accountants and law practitioners — has increased in recent inspection cycles.

Manual name-checks at the point of a property sale are no longer defensible. The regulator expects real-time screening, documented rationale and a fully exportable audit trail — for every transaction that triggers an obligation.

What real-time screening actually means

“Real-time” is often misused. In practice, a credible transaction screening function must do five things on every in-scope transaction, before the transaction clears:

1. Screen both parties (buyer and seller, or payer and payee) against consolidated sanctions lists — UN, EU, OFAC, HMT — and high-risk jurisdictions.
2. Screen for PEP and adverse media, using thresholds appropriate to the transaction value and structure.
3. Detect typology-based red flags — structured payments, rapid resale, round-trip transfers, cash-equivalent instruments, layering patterns.
4. Verify beneficial ownership on both sides where the counterparty is a legal person, per the FCC Guidelines.
5. Produce a decision record — screening hits, analyst review, MLRO sign-off — that can be exported as a single PDF or dataset on regulator request.

How Sherlock Transactions is built for the DNFBP reality

Sherlock Transactions is built specifically for DNFBP workflows — not adapted from a bank-oriented monitoring tool. That distinction matters in practice:

Real estate and notary workflows

Transaction types map to the real DNFBP flows: reservation deposits, escrow receipts, final transfers, commission payments, partial settlements. Beneficial ownership is verified on both buyer and seller sides as a first-class workflow, not bolted on.

AI-driven typology detection

Structured payments, layering patterns, source-of-funds anomalies, and rapid-resale flags are detected automatically — then surfaced for human review with the specific rule that triggered them. No black box: every alert is explainable.

STR-ready audit trails

Every alert, every review, every MLRO decision is preserved in a format that mirrors the FIU’s STR and inspection expectations. When a suspicious transaction does need to be reported, the file is already assembled.

MLRO dashboard with live list updates

UN, EU, OFAC and PEP data refresh automatically. No manual CSV imports. The MLRO sees open alerts, overdue reviews, and upcoming refreshers in one view.

Sector-aware risk scoring

Risk weighting accounts for the known DNFBP typologies — high-value property, PEP-linked structures, cross-border funds, politically exposed jurisdictions — without requiring the user to configure it from scratch.

What changes for the MLRO

The job of the MLRO has always been to decide — escalate or close, report or dismiss, approve or reject — with documented reasoning. Sherlock Transactions does not replace that judgement; it protects it. By removing the mechanical work of matching names against lists and spotting simple typologies, it leaves the MLRO free to focus on the cases that actually require expert review.

Under the FCC Guidelines’ "adequate procedures" standard, that is precisely what the regulator expects: a risk-proportionate system, humans in the loop on the decisions that matter, and a trail of evidence for everything else.