Automated Business Process Audit System
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Solution Overview
Problem
Current audit methodologies for business processes are not automated, leading to lengthy and fault-prone manual processes with significant latency, making them unsuitable for real-time transactional validation.
Innovation Solution
A real-time, automated business process audit system that employs event listeners, a correlator, and a notification component to detect anomalies by collecting and processing raw event data, using business process definition languages like XMI/BPMN/BPEL to establish cause-effect relationships and guard conditions, with a causal pattern detection layer and behavior analysis for adaptive modeling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual sample data retrieval and analysis is used by third-party domain experts, then audit thoroughness can be maintained, but the process becomes lengthy and fault-prone with significant latency
Solution Approach 1:
The audit system performs self-validation through automated event correlation and anomaly detection. The correlator automatically compares actual process events against defined process models, and the behavior analysis layer autonomously detects deviations without requiring manual expert analysis, thereby eliminating the time-consuming manual review process while maintaining audit reliability
Solution Approach 2:
The patent replaces the mechanical manual analysis process with an automated computational system. Event listeners, correlators, and behavior analysis algorithms automatically process and analyze process events, substituting the manual mechanical work of domain experts with automated electronic processing that operates continuously without latency
2Adaptability or versatility
If manual audit processes are used, then complex process validation can be performed, but real-time transactional validation becomes impossible due to latency
Solution Approach 1:
The audit system operates continuously in real-time through persistent event listeners that continuously monitor process events, a correlator that continuously correlates events against process models, and a behavior analysis layer that continuously analyzes patterns. This continuous automated operation enables real-time transactional validation while maintaining comprehensive process validation capabilities
Solution Approach 2:
The patent introduces an intermediary automated audit infrastructure between business processes and validation. Event listeners capture events, the correlator acts as an intermediary to compare events against process models, and the behavior analysis layer serves as an intermediary to detect anomalies. This intermediary automated system enables real-time validation without requiring manual intervention
Data Source
AI summary
Business Processes handle business transactions. The life cycle of a transaction is controlled by state of the process and events. Events represent information exchange between systems. The states determine when the exchange should take place.Key issues are to identify whether a transaction is anomalous and if so, determining the trace to the root causeTo detect anomalies, current approaches evaluate transaction data statistically. To validate whether the transaction is indeed anomalous requires significant storage, processing power and human resources.The new approach audits events as they happen against the business process definition. Events that do not follow the right sequences and conditions of the process definition are identified to be anomalous. The generated audit trail traces the root cause of the transaction anomaly.Businesses can now protect or re-engineer their strategic business processes using audit trail traces.