Explainable scoring and filters enable compliance teams to understand why alerts trigger and how risk scores are calculated. As regulatory expectations increasingly focus on transparency and accountability, organisations must be able to explain screening outcomes clearly to auditors, regulators, and internal stakeholders.

Within the Facctum platform, explainable scoring and filters support solutions such as Customer Screening, Payment Screening, and Transaction Monitoring, ensuring that decision logic remains visible, controllable, and defensible.

Why Explainable Scoring And Filters Are Needed

Complex screening environments often combine multiple rules, thresholds, and data signals. Without clear visibility into how these elements interact, teams may struggle to justify decisions or identify the cause of excessive alerts.

Explainable scoring and filters address this challenge by exposing the factors that contribute to risk scores and alert triggers. This improves trust in the system and supports regulatory scrutiny.

How Explainable Scoring And Filters Work

Explainable scoring works by breaking down risk scores into individual contributing factors, such as match strength, data attributes, and contextual signals. Filters allow organisations to control which alerts surface based on defined criteria and thresholds.

Together, these capabilities enable teams to fine-tune screening outcomes while maintaining full visibility into decision logic.

What Makes Facctum’s Approach Different

Facctum’s explainable scoring and filters are designed to balance flexibility with governance. Scoring logic and filter criteria are transparent and can be reviewed, tested, and adjusted without obscuring underlying behaviour.

This approach allows organisations to optimise screening performance while maintaining confidence in regulatory explainability.

Where Explainable Scoring And Filters Are Used

Explainable scoring and filters are applied in scenarios such as:

• Sanctions and watchlist screening

• Customer onboarding and periodic reviews

• Payment and transaction screening

• Alert prioritisation and triage

These use cases benefit from clearer insight into why alerts occur and how risk is assessed.

How Explainable Scoring And Filters Fit Into The Platform

Explainable scoring and filters integrate with other platform capabilities such as probability-based decisioning, AI-assisted alert adjudication, case prioritisation, and audit logging. They can be applied consistently across screening and monitoring workflows.

This integration ensures that explainability is embedded across the compliance lifecycle.

Build Trust Through Explainable Compliance Decisions

Learn how explainable scoring and filters can strengthen transparency and control across compliance workflows, speak with the Facctum team to see how this capability fits into your platform deployment.