Pillar 2 · Module Features

Score Every Customer, Consistently, Across Every Risk Landscape

Customer Risk Profiling applies FATF's Risk-Based Approach to every customer in the book — combining customer, transaction, geographic, channel and product data into one calibrated score, so due-diligence effort goes where the actual risk sits.

  • Multi-Factor Risk Scoring Engine — customer, product/service, geography, and delivery-channel risk are combined into a single composite ML/TF score, per FATF's Risk-Based Approach.
  • Configurable Risk Value Setup — compliance defines the weight assigned to each risk variable (occupation, PEP status, geography, channel, product) rather than relying on a fixed vendor formula.
  • Low / Medium / High Risk Banding — score ranges are calibrated by the institution and mapped automatically to the required level of due diligence.
  • On-Demand and Scheduled Batch Re-Profiling — every customer is re-scored on demand or automatically each quarter, so ratings never go stale between onboarding and the next review.
  • Automatic High-Risk Routing to ECDD — any customer whose composite score crosses the High threshold is auto-escalated into Enhanced Customer Due Diligence, with source-of-funds and source-of-wealth verification.
  • Manual High-Risk Override — compliance officers can escalate a customer to High Risk outside the standard scoring model for exceptional cases — adverse media, regulator direction, or internal intelligence.
  • National Risk Assessment (NRA) Alignment — sector and product vulnerability findings from Nepal's National Risk Assessment feed directly into the risk-landscape weighting.
  • Multi-Landscape Data Ingestion — pulls inputs from CBS account data, KYC/KYM declarations, transaction history, geography/branch data, and screening results into one scoring pipeline.
  • Risk Profile Reports — consolidated, point-in-time and historical risk reports for on-demand review, board reporting, or regulator inspection.
  • Compliance 360 Hand-Off — every High-Risk or ECDD case opens directly into the Compliance 360 investigation view, with behavioural, network, geographic, and typology intelligence already attached.
  • Full Audit Trail on Scoring Changes — every re-profiling event, override, and weight change is logged with who, when, and why, for regulator inspection.
  • Batch and Ad-Hoc Scoring Modes — supports scheduled institution-wide batch re-scoring as well as ad-hoc single-customer re-scoring triggered by an event such as a large transaction or a list hit.

Risk Landscapes → Scoring Engine → Low / Medium / High → ECDD (if High)

Customer and transaction data feed one scoring engine; the composite score is calibrated into Low, Medium, or High, and a High result automatically triggers the ECDD process flow.
🧾 Customer, KYC & Screening Data 💳 Transaction & Behavioural Data Risk Scoring Engine (Weighted, Multi-Factor Model) Composite ML/TF Score LOW MEDIUM HIGH Standard onboarding& periodic monitoring Standard due diligence,more frequent review ECDD Triggered (auto-escalated) Enhanced Due Diligence (Source of Funds/Wealth, Senior Mgmt Review) Decision (Approve & Monitor / Decline)

Customer/KYC/screening data and transaction/behavioural data both drop into a shared line feeding the Risk Scoring Engine, which produces one composite ML/TF score per customer. That score is calibrated by the institution into Low, Medium, or High bands. Low and Medium results continue under standard or periodic-review monitoring; a High result drops straight into the ECDD process flow — escalation, enhanced due diligence with source-of-funds/source-of-wealth verification and senior management review, and a final approve-and-monitor or decline decision.

See This Module in Action

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