This research demonstrates how GPT-4o can be leveraged to identify inefficient process repetitions in business workflows, creating opportunities for operational optimization.

• Successfully transformed unstructured event logs into analyzable data formats
• Identified rework anomalies in business processes with high accuracy
• Designed a specialized tool that automates the detection process
• Demonstrated GPT-4o's effectiveness on synthetic business process datasets

For engineering teams, this approach offers a powerful method to detect inefficiencies, optimize workflows, and improve resource allocation without complex rule-based systems.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes