Automated High-Spend Account Monitoring for Fraud Detection

A client’s risk management team faced a growing challenge in tracking false-positive accounts that could exhibit fraud behaviour later. Over 100 such tickets were created monthly, but there was no scalable way to monitor them again if spending patterns changed. Scalence enabled the team to automate this re-checking process based on clear thresholds, bringing accuracy and speed to high-risk account investigation.

Manual Monitoring Was Unsustainable at Scale

Tracking accounts that had been previously deemed safe—but could later cross risk thresholds—was resource-intensive. Without automation, there was no reliable way to re-flag these accounts, leading to missed risks or duplicate effort.

Threshold-Based Automation for Account Re-Flagging

Scalence built a lightweight monitoring mechanism using SQL that systematically flagged accounts with spend exceeding $90k.

Key elements included:

• Script runs on all previously reviewed false-positive accounts
• Spend data is continuously scanned for threshold breaches
• Flags are automatically raised without manual input
• Alerts are routed to relevant teams for further investigation

Faster Detection, Lower Manual Dependency

This automation empowered the risk team to focus on critical decisions rather than repetitive checks. Alerts are now generated with consistency, accuracy, and at speed—enabling faster fraud detection.