Designing Compliance Automation Systems for Regulator Role-Play and Evidence Reconstruction
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V7I2P102Keywords:
Compliance Automation, Workflow Orchestration, Regulatory Explainability, Evidence Reconstruction, Financial Crime Compliance, Human-In-The-Loop SystemsAbstract
Compliance automation systems are increasingly expected to support regulatory explainability in addition to detection accuracy. Traditional compliance platforms often lack mechanisms to reconstruct decision-level evidence trails in a regulator-interpretable format. This paper proposes a workflow-driven compliance automation framework that integrates regulator role-play simulation and automated evidence reconstruction capabilities using a hybrid architectural model. Decision-state tracking and workflow-linked evidence logging are introduced as core architectural components that support human-in-the-loop oversight during automated investigative review processes. The proposed framework enables compliance teams to replay investigative timelines, trace evidence utilization, and justify escalation decisions during regulatory examinations. By embedding evidence reconstruction within workflow orchestration layers, the architecture provides audit-ready compliance automation that supports retrospective examination of investigative decisions across regulated enterprise environments.
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