AI-assisted alert adjudication supports compliance teams by providing contextual insights that help analysts review and resolve screening alerts more efficiently. As alert volumes increase across sanctions, customer, and payment screening, teams need tools that improve prioritisation and consistency without removing human oversight.

Within the Facctum platform, AI-assisted alert adjudication supports solutions such as Customer Screening, Payment Screening, and Transaction Monitoring, helping analysts focus attention where it is most needed while maintaining defensible decision-making.

Why AI-Assisted Alert Adjudication Is Needed

Traditional alert review processes often rely on static rules and manual assessment, which can lead to backlogs, inconsistent outcomes, and analyst fatigue. As screening environments scale, these challenges increase operational risk and make it harder to meet regulatory expectations for timely review.

AI-assisted alert adjudication addresses this challenge by surfacing probability-based signals and contextual information that support analyst judgement. This enables more efficient triage while preserving accountability and control.

How AI-Assisted Alert Adjudication Works

AI-assisted alert adjudication works by analysing alert attributes, historical outcomes, and contextual data to generate supporting insights for review. These insights may indicate relative risk, likelihood of relevance, or prioritisation guidance.

Importantly, AI outputs are used to assist, not replace, human decision-making. Final adjudication decisions remain with compliance analysts, and all actions are recorded for audit and review.

What Makes Facctum’s Approach Different

Facctum’s approach to AI-assisted alert adjudication is built around explainability and governance. AI-driven insights are transparent and can be reviewed alongside the underlying data that informed them.

By embedding AI assistance within existing adjudication workflows, Facctum helps teams benefit from advanced analytics without introducing black-box decisioning or regulatory risk.

Where AI-Assisted Alert Adjudication Is Used

AI-assisted alert adjudication is applied in scenarios such as:

• Sanctions and watchlist screening reviews

• Payment and transaction screening alerts

• High-volume alert environments

• Multi-team compliance operations requiring consistent outcomes

These use cases benefit from improved prioritisation and reduced manual effort.

How AI-Assisted Alert Adjudication Fits Into The Platform

AI-assisted alert adjudication integrates with other platform capabilities such as fuzzy matching and scoring, sanctions and PEP screening, case prioritisation, and reporting. It can be applied selectively based on alert type, risk profile, or workflow stage.

This modular integration allows organisations to introduce AI support incrementally and responsibly.

Improve Alert Review With Responsible AI

Discover how AI-assisted alert adjudication can support consistent, efficient compliance decisions, speak with the Facctum team to see how this capability integrates into your alert review workflows.