Capturing Value with Anomaly Detection - Concord White Paper

Rapid Anomaly Alerting Concord in Action:

CLIENT:

Financial Services

Challenge:

Manual alert escalation processes delayed issue response by over an hour, increasing the risk of customer impact and attrition.

Approach:

Developed and deployed an LSTM-based forecasting model for anomaly detection at five-minute intervals, integrated with Slack for immediate alerting and escalation. In this high-stakes environment, speed mattered more than perfection—so the model favored quick detection, even if it meant surfacing new false positives.

outcome:

Monitoring effort was reduced by 75%, enabling more frequent and timely detection while allowing analysts to focus on high-value activities with clear, actionable alerts.

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Reduced response times by 92%

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Successfully detected all 3 critical incidents in a blind test

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Identified over 10 minor incidents previously missed by manual monitoring

Capturing Value with Anomaly Detection