Abstract

This study presents a technical evaluation of an integrated automation framework combining ServiceNow, Splunk, and Robotic Process Automation (RPA) to support real-time compliance tracking, incident response, and governance in enterprise IT environments. As regulatory complexity and operational demands increase, automation is applied to reduce manual workload, accelerate incident resolution, and enhance audit traceability.

The framework enables a bidirectional integration: alerts detected in Splunk initiate incident tickets in ServiceNow, while ticket status updates and resolution data from ServiceNow are transmitted back to Splunk for continuous compliance monitoring. RPA bots, developed using UiPath and Automation Anywhere, execute rule-based tasks such as ticket routing, evidence collection, and audit documentation.

Methodologically, the study incorporates architectural analysis, API-level workflow mapping, and scenario-based testing. Performance metrics—including resolution time, documentation completeness, and system responsiveness—were compared across manual and automated workflows. Results indicate measurable improvements in operational efficiency and consistency in compliance reporting.

The framework addresses challenges in interoperability and orchestration, offering a scalable model for automation-driven IT service management. It contributes to the governance, risk, and compliance (GRC) literature by demonstrating how platform integration and automation can advance regulatory alignment and operational performance. Future research may investigate machine learning for intelligent ticket triage, integration with threat intelligence systems, and alignment with zero-trust security models.

Keywords: ServiceNow; Splunk; Robotic Process Automation (RPA); Compliance Automation; IT Operations; Governance Risk and Compliance (GRC); DevSecOps; Artificial Intelligence (AI); Emerging Technologies; Machine Learning (ML)

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Citation

Jada-Ann Riggins and Miranda Stanfield. “Automation-Enabled Compliance and Governance: A Technical Analysis of ServiceNow, Splunk, and Robotic Process Automation". Clareus Scientific Science and Engineering 2.5 (2025): 31-40.

Copyright

© 2025 Jada-Ann Riggins and Miranda Stanfield. Licensee Clareus Scientific Publications. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.