How a PropClear screening produces its score

Every client screening runs through three components, each with a distinct role and a distinct level of trust.

Component 1 — Data gathering. Claude (the AI) performs adverse media web search, structured PEP and sanctions narrative analysis, and country risk assessment. It returns structured findings — a list of yes/no facts and short narratives. It does not calculate the risk score.

Component 2 — Deterministic scoring engine. A weighted scoring engine encoded in JavaScript reads Component 1's findings, the NameScan API result, the agent's wizard inputs, and any Form B flags. It applies the five-category weighted scoring set out below to produce a deterministic risk score from 0 to 100. The same inputs always produce the same outputs. This is the audit defence.

Component 3 — AI escalation reviewer. A separate, narrowly-scoped AI call reviews the deterministic score for factors the engine could not capture mechanically — combinations of behavioural flags suggesting structuring, contextual mismatches between profile and transaction, patterns resembling known typologies. It can add 0 to 25 points of escalation with written reasoning. It cannot reduce the deterministic score under any circumstances.

Why three components
Component 2 must be deterministic so the score is reproducible — that's what makes the methodology auditable. Component 3 must be separate so it can only raise the floor, never silently override it. Component 1 stays AI-driven because adverse media search and narrative explanation are genuinely things AI does well.

The five risk categories

Each category is sized based on its individual regulatory severity, not in proportion to a fixed total. The maximum theoretical sum of category caps is 125 points; the final score is capped at 100 to fit the rating bands. This preserves each category's standalone weight without artificial compression — genuine high-risk clients typically present multiple concurrent risk factors, and the methodology cannot under-rate them just to make the math add to 100.

Category 1 — Sanctions, PEP & Severe Adverse Media
max 50%
The highest-weighted category. Captures direct sanctions hits, confirmed Politically Exposed Persons, and severe adverse media that rises to the level of regulator enforcement or UN Security Council Resolution naming. Aligned to FATF Recommendations 10 and 12 and the screening obligations under PMLPFTF Regulations 2021.
Key factors and points
Exact sanctions match (NameScan)50 (hard stop) Confirmed foreign PEP50 Named in UN Security Council Resolution45 (hard stop) Active criminal prosecution (ML/TF/financial crime)40 Major regulator enforcement action35 Confirmed domestic PEP (Singapore)30 PEP family member or close associate25
Category 2 — Source of Funds / Wealth
max 25%
PMLPFTF treats Source of Funds and Source of Wealth verification as the primary Enhanced Due Diligence exercise — Form C of the CEA Guide is essentially built around it. We weight it accordingly. Failure to verify is itself a material risk indicator regardless of whether other factors are clear.
Verification status
Both Source of Funds AND Source of Wealth unverified25 Source of Wealth unverified (Source of Funds verified)15 Source of Funds unverified (Source of Wealth verified)10 Both verified with documentary evidence0
Category 3 — Country Risk
max 25%
Nationality-based country risk drawn from FATF's published black and grey lists, supplemented by a Prime Mercer-defined high-risk country list synthesising EU AMLD high-risk third countries, US OFAC sanctioned jurisdictions, and recent Singapore Police Force / SPF STRO enforcement-relevant countries. Reviewed quarterly.
Country tiers
FATF blacklist (currently DPRK, Iran, Myanmar)25 FATF greylist (jurisdictions under increased monitoring)15 Prime Mercer high-risk country (non-FATF)10 Standard country0
Category 4 — Reputational Adverse Media
max 15%
Captures unconfirmed adverse media that does not rise to the severity threshold of Category 1. Reputational concerns matter for risk assessment but warrant lower weight than confirmed criminal or regulatory action.
Adverse media severity
Reputational adverse media — unconfirmed allegations12 Adverse media on family / business associate8 Named only in civil litigation (no criminal/regulatory)5 No adverse media found0
Category 5 — Transaction Risk
max 10%
The 29 red flag indicators in Form B Section 2 are operationalised here. We classify them into three groups: Group A (auto-detectable from CDD wizard inputs), Group B (agent-toggled checkboxes that score), and Group C (pure behavioural observations that don't score directly but feed the AI escalation layer). Subjective behavioural cues should not produce false-precision deterministic points.
Auto-detected and agent-toggled factors (capped at 10)
Cash transaction >S$20,0004 Resistant to providing BO / source of funds info3 Third-party / unusual funding3 New legal entity with large transaction3 Different identification documents used3 Acting as proxy / concealing BO2 Complex ownership structure2 Other Form B Group A and B flags2 each

Hard stops — mandatory transaction halts

Hard stops are regulatory bright lines. When triggered, the transaction must not proceed regardless of any other factors. The agent must not facilitate the transaction and must consider filing a Suspicious Transaction Report through SONAR.

  • Exact sanctions match (NameScan or other authoritative source) — score saturates at 100, STR required, transaction halt.
  • Named in active UN Security Council Resolution — score saturates at 100, STR required, transaction halt.
  • Designated under TSOFA 2002 or UN Act 2001 without exemption order — transaction halt, STR required.

Score floors — deterministic minimums

Score floors elevate the deterministic risk score to a defined minimum when specific factors are present. Unlike hard stops, floors don't prevent the transaction — they just ensure the rating reflects severity that the category math alone might under-state.

  • FATF blacklist nationality — minimum score 40 (Medium)
  • Confirmed foreign PEP — minimum score 70 (High)
  • Confirmed domestic PEP (Singapore) — minimum score 40 (Medium)
  • Three or more Group C behavioural flags ticked on Form B — minimum score 50

How the final score is calculated

The deterministic engine combines category scores, hard stops, score floors, and AI escalation in a strictly defined sequence:

subtotal = Cat1 + Cat2 + Cat3 + Cat4 + Cat5 (max 125) beforeAI = max(subtotal, applicable score floor) final score = min(beforeAI + AI escalation, 100) final rating = band(final score)

The 125-point maximum subtotal capped at 100 is intentional. Each category is sized on its individual regulatory severity, not forced to compete for share of a fixed total. The 100-cap step handles the rare case where multiple severe categories saturate at once. This is what allows confirmed foreign PEPs to be weighted at 50 points without artificially compressing the other categories.

Rating bands and required forms

Score Rating Required forms
0–39 Low Form A1 (or A2) + Form B
40–69 Medium Form A1 (or A2) + Form B + enhanced scrutiny
70–100 High Form A1 (or A2) + Form B + Form C (ECDD) + STR consideration

For unrepresented counterparties, the equivalent forms in Annex G of the PMLPFTF Guide apply (U1, U2, U5, U6). For ongoing client relationships, Form D (Ongoing Due Diligence) applies in addition.

Audit trail — what's logged for every screening

For every screening, PropClear records and retains for the regulatory minimum of 5 years per Regulation 12 of the PMLPFTF Regulations 2021:

  • All inputs to Component 1 (CDD wizard data, NameScan response)
  • Component 1 structured findings (PEP determinations, country assessment, adverse media)
  • Component 2 deterministic score breakdown (each category's points and the specific factors triggering them)
  • Hard stops triggered, with rule identification
  • Score floors applied, with rule identification
  • Component 3 AI escalation amount and full written reasoning
  • Final score and rating
  • Methodology version applied (e.g. "v1.0")
  • Timestamp and screening reference identifier

This audit trail is rendered in the screening result page, in Form B Section 3, and on the Form B PDF that the agent retains as compliance evidence. A CEA inspector reviewing any past screening can reproduce the exact reasoning that led to the rating.

Methodology maintenance

This methodology is reviewed annually, with the next scheduled review on 1 May 2027. It is also reviewed on an event-driven basis when:

  • Material changes occur to the PMLPFTF Regulations 2021 or the CEA PMLPFTF Guide
  • Material changes occur to FATF Recommendations 10 or 12
  • FATF updates its blacklist or greylist (handled operationally on a quarterly cycle)
  • MAS issues new guidance or notices materially affecting AML/CFT requirements for property transactions
  • Methodology gaps are identified through CEA inspection feedback or operational experience
A note on AI's role

PropClear is agent-led, AI-enhanced. The AI gathers data and recommends. The agent reviews and decides. CEA holds the agent accountable. That is exactly the model SMS Sun Xueling endorsed at the ERA Asia Pacific Business Conference in March 2026: "AI must be used to present accurate information, information that will help your clients make reasonable decisions."

The deterministic scoring engine is what gives this methodology its defensibility. The AI escalation layer is bounded and documented. Neither component can silently override the other.

Approval & Attestation

"Prime Mercer, having reviewed the methodology set out herein, attests that this document represents the firm's documented Risk Assessment Methodology for AML/CFT screening, consistent with FATF Recommendation 10 and the Estate Agents (Prevention of Money Laundering, Proliferation Financing and Terrorism Financing) Regulations 2021. This methodology is reviewed annually and on regulatory change."

Prime Mercer A Singapore professional accounting firm focused on the real estate sector
Effective 1 May 2026 · Methodology v1.0