Using Artificial Intelligence and Robotic Process Automation to Reduce Manual Errors in Health and Human Services Audits
Keywords:
Artificial Intelligence, Robotic Process Automation, Health and Human Services, Audit Automation, Error Reduction, Compliance Monitoring, Public Sector InnovationAbstract
Manual errors in health and human services (HHS) audits pose significant challenges to operational efficiency, regulatory compliance, and service delivery quality. This paper explores the integration of Artificial Intelligence (AI) and Robotic Process Automation (RPA) in audit workflows to reduce these errors. Drawing on literature and recent advances in AI-driven process automation, the study outlines how intelligent systems can improve audit accuracy, streamline compliance monitoring, and reduce audit cycle times. Through a comparative analysis of conventional audit practices versus AI/RPA-augmented workflows, this paper identifies performance improvements, key implementation challenges, and future implications for public sector digital transformation.
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