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Detection of Financial Control Irregularities

Use Case Use Case Family: Anomaly Detection
Business Domain Business Domain: Finance
Process Processes: Risk Monitoring
Challenge:

Manual reviews of internal financial controls are slow and error-prone. Irregularities—whether due to mistakes or fraudulent intent—can slip through undetected, threatening financial integrity and regulatory compliance.

Solution:

Deploy AI models that analyze system activity, transactional flows, and behavioral data. These models identify standard patterns and raise immediate alerts when anomalies or suspicious deviations are found.

Benefits:
  • Enables continuous, automated auditing of financial operations
  • Detects potential fraud or compliance risks in near real time
  • Reduces reliance on manual spot-checks and human oversight
Target Group Target Group:
Risk managers Internal auditors Compliance officers
Potential Industries Potential Industries:
Banking Insurance Auditing &amp Consulting
Low Risk
Low Risk systems
Without Transparency Obligations
Disclaimer The information provided regarding the risk assessment is without guarantee. The complete classification of a use case according to the EU AI Act depends on numerous regulatory and company-specific factors. Therefore, the risk assessment is always case-specific. The risk assessment logic of Casebase is used for this purpose.