Client background
A financial institution experiencing increasing fraud attempts across digital channels needed better detection and faster intervention. Leadership wanted a practical solution that improved accuracy while keeping operational workload manageable and decisions explainable.
The business challenge
Fraud detection rules were noisy, generating high volumes of alerts with inconsistent triage. Investigators spent too much time on low-signal cases, while higher-risk events were not consistently prioritized.
The institution needed a real-time approach that combined anomaly detection with decision workflows so actions (step-up verification, holds, escalations) were consistent, auditable, and measurable.
Strategy and solution
Cicrim helped define an operational fraud decisioning model that uses anomaly signals as inputs, applies policy-driven actions, and creates a measurable workflow for review and continuous tuning.
The solution included designing and deploying a set of capabilities aligned to the institution’s operating model:
- Signal strategy and feature design: Identified high-value behavioral and contextual signals mapped to specific fraud scenarios.
- Real-time decision workflows: Defined policy-based actions and routing aligned to risk thresholds and operational capacity.
- Triage and investigator enablement: Improved case prioritization and reduced noise by refining alerts and escalation rules.
- Governance and tuning cadence: Established monitoring, drift checks, and a review cadence to keep controls effective over time.
This solution led to the following key benefits
- Reduced losses: Improved detection and intervention for high-risk events.
- Lower false positives: Decreased noise and improved investigator efficiency through better prioritization.
- Faster response: Enabled consistent real-time actions based on thresholds and controls.
- Better oversight: Delivered reporting on alert volume, outcomes, and control effectiveness for leadership.