In insurance claims, underwriters and other relevant members need to detect and investigate fraud by identifying, analyzing, and verifying suspicious activities to prevent fraudulent claims. The process involves several stages – submission of initial claims, analysis of fraud detection, conducting detailed investigation, and final approval or rejection of claims. 

Suspicious claims are identified by detecting anomalies and patterns that suggest deception. When organizations use manual approval to approve fraud detection and investigation it presents significant challenges such as time-consuming tasks, human errors, delays, and inconsistencies which can lead to missed fraudulent activities. 

On the other hand, workflow automation software like Cflow can address these challenges by streamlining the workflows ensuring consistency, reducing the risk of errors, and accelerating the approval process. This helps companies establish a standardized process for detecting and investigating suspicious activities and come up with contingency plans to prevent fraudulent claims.