From Compliance Burden to Competitive Advantage: Leveraging RPA and AI for Streamlined Compliance Documentation and Audits

Authors

  • Sapna Nishant Pillai

Keywords:

Robotic Process Automation, Artificial Intelligence, Compliance Management, Regulatory Technology, Strategic Advantage

Abstract

With the growing complexity of regulatory requirements, the need for compliance with national and international standards has increased significantly for organizations across different sectors. Conventionally, compliance management has been viewed as a resource-intensive duty that takes away important resources from core business goals. However, this perception is being drastically changed by integrating RPA with AI technologies. These technologies digitally enable the automation and intelligent optimization of compliance processes, helping organizations transition to proactive, data-driven governance models from reactive management approaches, thereby creating quantifiable value. This article examines how RPA and AI enhance the efficiency of compliance documentation, prepare organizations better for audits, and present regulatory compliance as a competitive advantage in today's complex business environments. It analyzes the current landscape of compliance, explores how RPA streamlines rule-based compliance activities, investigates AI cognitive capabilities for processing unstructured regulatory data, and quantifies the multidimensional benefits of technology-enabled compliance. The article also addresses critical implementation considerations that are necessary for the successful deployment of automated compliance systems.

DOI: https://doi.org/10.17762/ijisae.v14i1s.8215

Downloads

Download data is not yet available.

References

Thomson Reuters, "2023 Cost of Compliance Report: Regulatory burden poses operational challenges for compliance officers," 2023. https://www.thomsonreuters.com/en-us/posts/investigation-fraud-and-risk/2023-cost-of-compliance-report/

PwC, "PwC’s Global Compliance Survey 2025," 2025. https://www.pwc.com/gx/en/issues/risk-regulation/global-compliance-survey.html

Hariharan Pappil Kothandapani, "Automating financial compliance with AI: A New Era in regulatory technology

(RegTech)," International Journal of Science and Research Archive, 2024. https://www.researchgate.net/profile/Hariharan-Pappil-Kothandapani-2/publication/388405013_Automating_financial_compliance_with_AI_A_New_Era_in_regulatory_technology_RegTech/links/6797aeb996e7fb48b9a299a6/Automating-financial-compliance-with-AI-A-New-Era-in-regulatory-technology-RegTech.pdf

Scrut Automation, "A Beginner’s Guide to Compliance Automation in 2025," 2025. https://www.scrut.io/post/compliance-automation

Jivitesh Jain, Nivedhitha Dhanasekaran, and Mona Diab, "From Complexity to Clarity: AI/NLP’s Role in Regulatory Compliance," Findings of the Association for Computational Linguistics: ACL 2025, pages 26629–26641, 2025. https://aclanthology.org/2025.findings-acl.1366.pdf

National Institute of Standards and Technology, "Overview of the AI RMF,". https://www.nist.gov/itl/ai-risk-management-framework

Susan Stapleton, "What is Compliance Automation? | Definition, Benefits, Tools," Pathlock, 2025. https://pathlock.com/learn/compliance-automation/

Lytho, "Calculating Creative Operations ROI: From Cost Center to Value Driver,". https://www.lytho.com/blog/calculating-creative-operations-roi-from-cost-center-to-value-driver/

K. A. Sadeghian, et al., "Automated Systems for Data Governance and Compliance," https://www.researchgate.net/publication/383339497_Automated_Systems_for_Data_Governance_and_Compliance

Legit Security, "Compliance Automation: How to Get Started and Best Practices," 2025. https://www.legitsecurity.com/aspm-knowledge-base/compliance-automation-best-practices.

Vanta, "How to get started with compliance automation,". [Online]. Available: https://www.vanta.com/collection/grc/compliance-automation

RSM, "How can technology drive compliance in your organization?," 2023. [Online]. Available: https://rsmus.com/insights/services/financial-management/how-can-technology-drive-compliance-in-your-organization.html

Narayana pappu, "AI Governance Maturity Models 101: Assessing Your Governance Frameworks," Zendata. [Online]. Available: https://www.zendata.dev/post/ai-governance-maturity-models-101-assessing-your-governance-frameworks

International Society for Pharmaceutical Engineering (ISPE), "GAMP Guide: Artificial Intelligence," 2025. [Online]. Available: https://ispe.org/publications/guidance-documents/gamp-guide-artificial-intelligence

Tookitaki, "Anti-money Laundering Using Machine Learning," 2025. [Online]. Available: https://www.tookitaki.com/compliance-hub/anti-money-laundering-using-machine-learning

Quinn Jones, "IoT-Based Environmental Monitoring: Types and Use Cases

," Digi, 2023. [Online]. Available: https://www.digi.com/blog/post/iot-based-environmental-monitoring

Mario Hermann, Tobias Pentek, and Boris Otto, "Design Principles for Industrie 4.0 Scenarios," 2016 49th Hawaii International Conference on System Sciences (HICSS), 2016. [Online]. Available: https://ieeexplore.ieee.org/document/7427673

Yann LeCun, Yoshua Bengio, and Geoffrey Hinton, "Deep Learning," Nature, vol. 521, pp. 436-444, 2015. [Online]. Available: https://www.nature.com/articles/nature14539

Fei Tao et al., "Digital Twin in Industry: State-of-the-Art," IEEE Transactions on Industrial Informatics, Volume 15, Issue 4, 2019. [Online]. Available: https://ieeexplore.ieee.org/document/8477101

Michal Wachstock, "Principles of an AI Governance Framework," 2024. [Online]. Available: https://dualitytech.com/blog/ai-governance-framework/

Downloads

Published

14.02.2026

How to Cite

Sapna Nishant Pillai. (2026). From Compliance Burden to Competitive Advantage: Leveraging RPA and AI for Streamlined Compliance Documentation and Audits. International Journal of Intelligent Systems and Applications in Engineering, 14(1s), 552–569. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/8215

Issue

Section

Research Article