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Journal articles on the topic 'Compliance Automation'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Ahmed, Siddique Irshad, Kanse Vinse Ramdas, and Asst Prof Ahlam Ansari. "Compliance Verification Process Automation." International Journal for Research in Applied Science and Engineering Technology 10, no. 2 (2022): 831–36. http://dx.doi.org/10.22214/ijraset.2022.40363.

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Abstract: Compliance Documents are documents which include records, reports, observations, and verbal responses to establish or confirm compliance with a regulatory requirement by a program or facility. But these documents are very detailed and lengthy and difficult to comprehend in a short amount of time. Thus it creates many problems while adding new regulations or modifying the documents. Also, verifying these documents is very exhausting. Our product will provide organizations a web platform to quickly manage compliance documents. It works as an assistant to deal with compliance documents.

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Ramesh Pingili. "AI-driven intelligent document processing for banking and finance." International Journal of Management & Entrepreneurship Research 7, no. 2 (2025): 98–109. https://doi.org/10.51594/ijmer.v7i2.1802.

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The banking and finance industry is buried in paperwork—loan applications, compliance reports, risk assessments, and fraud investigations. Manual processing and outdated automation slow operations, increase costs and expose institutions to compliance risks (Vaultedge, 2023). AI-driven Intelligent Document Processing (IDP) is changing this by automating document workflows, accelerating approvals, and enhancing fraud detection. AI-powered IDP integrates machine learning, NLP, and RPA to reduce verification times, reduce errors, and strengthen compliance monitoring. Banks using AI-driven document

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Mainelli, Michael, and Mark Yeandle. "Best execution compliance automation: towards an equities compliance workstation." Journal of Risk Finance 7, no. 3 (2006): 313–36. http://dx.doi.org/10.1108/15265940610664988.

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Olakunle Babatunde Alao, Oritsematosan Faith Dudu, Enoch O. Alonge, and Chukwuka Emmanuel Eze. "Automation in financial reporting: A conceptual framework for efficiency and accuracy in U.S. corporations." Global Journal of Advanced Research and Reviews 2, no. 2 (2024): 040–50. http://dx.doi.org/10.58175/gjarr.2024.2.2.0057.

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This paper reviews the role of automation in financial reporting within U.S. corporations, focusing on how advanced technologies such as artificial intelligence (AI), robotic process automation (RPA), and cloud-based systems are transforming traditional financial processes. By automating routine tasks, these technologies offer significant improvements in efficiency, accuracy, and scalability. The paper highlights key challenges, including system integration, data security, and regulatory compliance, while also discussing strategies for successful implementation, such as establishing strong tec

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Karamani, Brunela. "Automation of Data Validation Processes in Banking: A Case Study on Validating Albanian Identity Numbers." SEEU Review 19, no. 1 (2024): 51–64. http://dx.doi.org/10.2478/seeur-2024-0022.

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Abstract In the banking industry, data accuracy and integrity are paramount for ensuring regulatory compliance, operational efficiency, and risk management. However, manual data validation processes often lead to delays, errors, and inefficiencies, posing challenges for financial institutions. To address these issues, many banks are turning to automation to streamline data validation processes and improve accuracy. Using data automation, banks optimize time-consuming manual tasks such as data entry, validation, and retrieval by creating automated software processes that execute these tasks qui

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Doshi, Kinil. "Revolutionizing Compliance with Automation and AI." International Journal of Science, Engineering and Technology 11, no. 5 (2023): 1–7. https://doi.org/10.61463/ijset.vol.11.issue5.567.

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Sandhya, Guduru. "Cloud Security Automation: Enforcing CIS Benchmarks with AWS Config, Azure Policy, and OpenStack Chef Cookbooks." Journal of Scientific and Engineering Research 7, no. 10 (2020): 243–48. https://doi.org/10.5281/zenodo.15234591.

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As cloud environments grow increasingly complex, organizations face challenges in maintaining security and compliance across multi-cloud infrastructures. Traditional security management methods often lead to misconfigurations, compliance violations, and increased attack surfaces. To address these risks, cloud security automation using policy-as-code frameworks, such as AWS Config, Azure Policy, and OpenStack Chef Cookbooks, enables organizations to enforce security controls programmatically. This paper evaluates these frameworks' effectiveness in automating security compliance, enforcing Cente

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Fahrudin, Rifqi, Firdaus Dwi Yulian, Ahmad Yadi Fauzi, Ashley Wilson, and Taavi Kuusk. "Addressing Regulatory Risks in Fintech through Decentralized Technologies." APTISI Transactions on Management (ATM) 8, no. 3 (2024): 204–12. http://dx.doi.org/10.33050/atm.v8i3.2356.

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The fintech industry, characterized by rapid innovation and disruption of traditional financial services, faces significant regulatory challenges that can hinder its growth and sustainability. Managing these regulatory risks is crucial to ensuring compliance and maintaining trust within the industry. Decentralized technologies, particularly blockchain, have emerged as potential solutions for enhancing regulatory compliance through increased transparency, security, and automation. This study aims to analyze the role of decentralized technologies in addressing regulatory risks in the fintech sec

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R, Punya. "Risk Register Automation using Stacked Generalization." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem49221.

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Abstract— This paper proposes a hybrid ML/DL approach for automating compliance risk register generation. A stacked generalization model is built using Random Forest, Logistic Regression, and MLP as base learners, combined via a meta-learner to improve risk classification. The system is trained on synthetic compliance data and utilizes encoding and normalization for preprocessing. Integrated with a Streamlit dashboard, the model provides real-time risk prediction with confidence scores, enabling efficient and accurate compliance risk management. Experimental results demonstrate superior perfor

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Silva, Roberto De Carvalho. "AUTOMATION AND OPTIMIZATION OF THE SAP SOFTWARE INSTALLATION PROCESS IN CORPORATE WORKSTATIONS: IMPACTS ON SCALABILITY AND SECURITY." Revista ft 29, no. 145 (2025): 34–35. https://doi.org/10.69849/revistaft/ch10202504040734.

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The automation and optimization of SAP software installation in corporate workstations are critical for enhancing scalability, security, and efficiency. Manual deployment processes are time-consuming, error-prone, and challenging to standardize in large-scale environments. This study explores automation tools such as Ansible, Terraform, and SCCM to streamline SAP deployment, reducing manual intervention and ensuring consistent configurations across multiple devices. The research also highlights the significance of security measures, including system hardening, least privilege policies, and mul

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Sardana, Jiten. "Automating Global Trade Compliance through Product Classification Systems." American Journal of Management and Economics Innovations 07, no. 04 (2025): 27–49. https://doi.org/10.37547/tajmei/volume07issue04-04.

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International business operations cannot be complete without considering global trade compliance to maintain quality, such as legal and regulatory standards for goods and services of different countries. Product classification is one of the important elements of global trade compliance – the classification of goods according to systems based around the world (such as the Harmonized System (HS) code). The classification of the product is used to determine the tariffs, duties, and legal compliances; hence, businesses have to ensure no such penalties, delays, or shipment issues. The traditional p

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Sardana, Jiten. "Automating Global Trade Compliance through Product Classification Systems." American Journal of Management and Economics Innovations 06, no. 08 (2024): 134–56. https://doi.org/10.37547/tajmei/volume06issue08-13.

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International business operations cannot be complete without considering global trade compliance to maintain quality, such as legal and regulatory standards for goods and services of different countries. Product classification is one of the important elements of global trade compliance – the classification of goods according to systems based around the world (such as the Harmonized System (HS) code). The classification of the product is used to determine the tariffs, duties, and legal compliances; hence, businesses have to ensure no such penalties, delays, or shipment issues. The traditional p

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Vidushi, Sharma. "Robotic Process Automation for Financial Compliance: Achieving Efficiency and Accuracy." International Journal of Leading Research Publication 1, no. 3 (2020): 1–23. https://doi.org/10.5281/zenodo.14710642.

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Robotic Process Automation (RPA) has gained significant traction in the financial services industry as a tool for automating routine, rule-based tasks, leading to enhanced operational efficiency and accuracy. This research explores the role of RPA in improving financial compliance processes, with a particular focus on its ability to streamline tasks such as data validation, reporting, auditing, and transaction monitoring. The paper provides a comprehensive review of the current state of RPA in the financial sector, examining how the technology has been integrated into compliance workflows. Thr

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Sashi, Kiran Vuppala. "Optimizing Workflow Automation in Telecommunications: The Role of Automated Validation and Escalation Workflows in Improving Operational Efficiency." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 12, no. 3 (2024): 1–16. https://doi.org/10.5281/zenodo.15054733.

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The telecommunications industry is rapidly evolving, necessitating workflow automation to improve efficiency, reduce operational costs, and enhance service-level agreement (SLA) compliance. This study examines the impact of Camunda BPM-based automated validation and escalation workflows in optimizing telecom operations. Traditional manual validation and escalation processes often lead to delays, errors, and compliance risks, affecting service delivery and customer satisfaction. By leveraging Business Process Model and Notation (BPMN) and Decision Model and Notation (DMN) within Camunda BPM, te

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Narayan, Sreekanth. "Pega Robotic Process Automation: A Transformative Approach." Journal of Research in Science and Engineering 7, no. 4 (2025): 35–37. https://doi.org/10.53469/jrse.2025.07(4).7.

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This article explores the integration of Pega Robotic Process Automation (RPA) in Industry 4.0, emphasizing its role in transforming business operations through end - to - end automation, artificial intelligence, and cognitive tools. It highlights the benefits, challenges, and future potential of Pega RPA in automating processes such as data validation, client onboarding, and financial reconciliation. Using qualitative research methods, the study examines the impact of RPA on productivity, compliance, and operational efficiency, providing valuable insights into its applications and limitations

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Holzmüller-Laue, Silke, Bernd Göde, Heidi Fleischer, and Kerstin Thurow. "Improved Compliance by BPM-Driven Workflow Automation." Journal of Laboratory Automation 19, no. 6 (2014): 528–45. http://dx.doi.org/10.1177/2211068214549626.

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Kalpinagarajarao, Gopikrishna. "AI guidelines in healthcare for compliance automation." Journal of Artificial Intelligence, Machine Learning and Data Science 1, no. 4 (2023): 1488–94. http://dx.doi.org/10.51219/jaimld/gopikrishna-kalpinagarajarao/336.

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John, Selvaraj Arulappan. "AI in Payroll: Unlocking Efficiency through Process Discovery and Automation Workflows." International Journal of Innovative Science and Research Technology (IJISRT) 10, no. 1 (2025): 1615–18. https://doi.org/10.5281/zenodo.14792213.

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The application of Artificial Intelligence (AI) in payroll systems is revolutionizing traditional workflows by enabling process discovery and automation. AI-driven tools analyze operational data to identify inefficiencies, uncover hidden patterns, and streamline payroll processes. Through intelligent automation, tasks such as payroll calculations, tax compliance, and error detection are executed with greater speed and accuracy, reducing manual interventions and associated costs. Advanced algorithms facilitate real-time monitoring and optimization, ensuring compliance with evolving regulations

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Wu, Jin, Xiaorui Xue, and Jiansong Zhang. "Invariant Signature, Logic Reasoning, and Semantic Natural Language Processing (NLP)-Based Automated Building Code Compliance Checking (I-SNACC) Framework." Journal of Information Technology in Construction 28 (January 24, 2023): 1–18. http://dx.doi.org/10.36680/j.itcon.2023.001.

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Traditional manual building code compliance checking is costly, time-consuming, and human error-prone. With the adoption of Building Information Modeling (BIM), automation in such a checking process becomes more feasible. However, existing methods still face limited automation when applied to different building codes. To address that, in this paper, the authors proposed a new framework that requires minimal input from users and strives for full automation, namely, the Invariant signature, logic reasoning, and Semantic Natural language processing (NLP)-based Automated building Code compliance C

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Vidushi, Sharma. "The Role of Robotic Process Automation in Streamlining Financial Operations in FinTech." Journal of Advances in Developmental Research 10, no. 2 (2019): 1–10. https://doi.org/10.5281/zenodo.14715783.

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The financial technology (FinTech) industry has undergone significant transformation, with automation technologies, particularly Robotic Process Automation (RPA), playing a pivotal role. RPA utilizes software robots to automate repetitive, rule-based tasks traditionally handled by humans, making it a valuable tool in streamlining financial operations. This paper examines the role of RPA in optimizing core financial processes within FinTech organizations, including payment processing, Know Your Customer (KYC) compliance, financial reconciliation, and fraud detection. The study highlights how RP

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Suresh Reddy Thati. "Configuration and compliance automation in modern networks: A framework for enhanced security and operational efficiency." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 2513–19. https://doi.org/10.30574/wjaets.2025.15.2.0613.

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Configuration and compliance automation represents a transformative approach to modern network management, addressing the escalating complexity of enterprise network environments. As organizations expand their digital footprint through cloud integration, IoT adoption, and hybrid work models, the traditional manual approach to network configuration has become increasingly unsustainable. The heterogeneous nature of contemporary networks, typically encompassing multiple vendors, platforms, and technologies, creates significant challenges for maintaining configuration consistency, ensuring regulat

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Researcher. "REVOLUTIONIZING LOAN SYSTEMS THROUGH INTELLIGENT AUTOMATION." International Journal of Research In Computer Applications and Information Technology (IJRCAIT) 7, no. 2 (2024): 1508–18. https://doi.org/10.5281/zenodo.14220828.

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This article examines the transformative impact of intelligent automation on loan origination processes at a leading financial institution, demonstrating substantial operational improvements and enhanced compliance adherence; implementing an automated Loan Origination System (LOS) significantly reduced processing time from multi-day to same-day approvals while drastically minimizing manual errors through sophisticated validation algorithms and automated checkpoints. This article presents a comprehensive technical architecture that seamlessly integrates dynamic case management, real-time compli

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Karthik Reddy Mannem. "DevOps Automation in Healthcare: Balancing Speed and Compliance." Journal of Computer Science and Technology Studies 7, no. 3 (2025): 398–409. https://doi.org/10.32996/jcsts.2025.7.3.46.

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This comprehensive article explores the integration of DevOps automation within healthcare environments, addressing the unique challenge of balancing rapid software delivery with stringent regulatory compliance. Healthcare organizations face extensive regulatory obligations including HIPAA, SOC 2, FDA requirements, and global privacy regulations, while simultaneously needing to deliver innovative technology solutions efficiently. The article examines how automated security scanning, compliance validation checkpoints, and immutable audit trails can be incorporated into CI/CD pipelines to suppor

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Samala, Srilatha. "Automating ITSM Compliance (GDPR/SOC 2/HIPAA) in Jira Workflows: A Framework for High-Risk Industries." International journal of data science and machine learning 05, no. 01 (2025): 98–126. https://doi.org/10.55640/ijdsml-05-01-14.

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Regulatory compliance is increasingly a fundamental part of a methodology to shield one’s organization from unscrupulous practices in enterprise IT. Organizations are bound by these compliance frameworks, such as GDPR, SOC 2, and the Health Insurance Portability and Accountability Act (HIPAA), to have the most potent data security, privacy, and integrity controls in place as they pertain to data. Organizations can get integrated options for handling workflows and ensuring compliance with the automated options of IT Service Management (ITSM) tools like Jira. With customizable workflows, automat

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Parapalli, Shriprakashan L. "GMP Compliance and MES: Strategies for Automated Compliance Assurance." International journal of data science and machine learning 05, no. 01 (2025): 170–81. https://doi.org/10.55640/ijdsml-05-01-17.

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Current Good Manufacturing Practice (cGMP) regulations emphasize stringent control over production processes, personnel, equipment, and documentation in pharmaceutical manufacturing. Meeting cGMP requirements involves meticulous recordkeeping, comprehensive quality control, and robust oversight—processes that are prone to human error when relying on traditional, paper-based approaches. Against this backdrop, Manufacturing Execution Systems (MES) offer a powerful solution for managing production workflows and ensuring regulatory adherence. This paper explores the integration of MES in a cGMP en

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Erisa, Kungu. "Automation in Drug Manufacturing: Ensuring Quality and Safety." RESEARCH INVENTION JOURNAL OF SCIENTIFIC AND EXPERIMENTAL SCIENCES 5, no. 1 (2025): 57–61. https://doi.org/10.59298/rijses/2025/515761.

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The pharmaceutical industry is increasingly adopting automation to enhance the quality, safety, and efficiency of drug manufacturing. Automation addresses challenges such as human error, variability in production, and regulatory compliance while improving drug availability and cost-effectiveness. This paper examines the role of automation in drug manufacturing, the regulatory frameworks governing automated processes, key technological advancements, benefits, and challenges. It also presents case studies of successful implementation, demonstrating automation’s potential in improving drug produc

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Boubin, Jayson G., Christina F. Rusnock, and Jason M. Bindewald. "Quantifying Compliance and Reliance Trust Behaviors to Influence Trust in Human-Automation Teams." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (2017): 750–54. http://dx.doi.org/10.1177/1541931213601672.

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Automation is utilized heavily in many domains to increase productivity. With new, more complex automation, like the self-driving car, humans will be required to forego direct task performance in favor of maintaining a supervisory role over automation systems. While the use of these systems generally results in greater performance than humans performing alone, humans are reluctant to adopt these superior systems due to a lack of trust. The United States Department of Defense is investigating trust in automation in order to influence the rate of adoption of automation technology. Studying trust

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Gannavarapu, Pramod. "Cloud Infrastructure Management and Automation." American Journal of Technology 4, no. 1 (2025): 91–125. https://doi.org/10.58425/ajt.v4i1.356.

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Aim: The role of cloud infrastructure automation in achieving enterprise efficiency, security, and compliance is the subject of this analysis, emphasizing hybrid and multi-cloud environments. With the increasing usage of cloud, automation is needed to cope with fluctuating workload patterns, improve resource management, and attain consistent performance outcomes. This analysis intends to illustrate how automation realizes curbing needs for manual actions, facilitates flexible operation, and provides constant security through automation patching abilities, checks regulatory compliance, and depl

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Lito, Pauline Talaso, Bruce Ogaga, and John Tarus. "Effect of System Automation on Excise Duty Compliance among Cigarettes Importers in Kenya." Journal of Finance and Accounting 4, no. 1 (2024): 28–37. http://dx.doi.org/10.70619/vol4iss1pp28-37.

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Excise duty compliance remains low in many economies around the world, with revenue authorities failing to achieve their annual targets. The main objective of this study was to determine the effect of system automation on excise duty compliance among cigarette importers in Kenya. The study was guided by diffusion of innovations theory. The study employed an explanatory research design that involved the use of structured questionnaires in collecting primary data. The target population was 21 cigarette importers in Kenya. Data was collected on a 5-point Likert scale questionnaire. Descriptive st

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Lito, Pauline Talaso, Bruce Ogaga, and John Tarus. "Effect of System Automation on Excise Duty Compliance among Cigarettes Importers in Kenya." Journal of Finance and Accounting 4, no. 1 (2024): 28–37. https://doi.org/10.70619/4-1-273.

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Excise duty compliance remains low in many economies around the world, with revenue authorities failing to achieve their annual targets. The main objective of this study was to determine the effect of system automation on excise duty compliance among cigarette importers in Kenya. The study was guided by diffusion of innovations theory. The study employed an explanatory research design that involved the use of structured questionnaires in collecting primary data. The target population was 21 cigarette importers in Kenya. Data was collected on a 5-point Likert scale questionnaire. Descriptive st

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Odetunde, Azeez, Bolaji Iyanu Adekunle, and Jeffrey Chidera Ogeawuchi. "Using Predictive Analytics and Automation Tools for Real-Time Regulatory Reporting and Compliance Monitoring." International Journal of Multidisciplinary Research and Growth Evaluation 3, no. 2 (2022): 650–61. https://doi.org/10.54660/.ijmrge.2022.3.2.650-661.

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In today’s complex and dynamic regulatory environment, financial and insurance institutions face increasing pressure to ensure compliance across multiple jurisdictions in real-time. The growing volume and sophistication of regulatory requirements necessitate the integration of advanced technological solutions to enhance the efficiency and effectiveness of compliance programs. This explores the use of predictive analytics and automation tools for real-time regulatory reporting and compliance monitoring. Predictive analytics harnesses large datasets and machine learning algorithms to anticipate

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Parag, Bhardwaj. "Driving Operational Efficiency through Azure Automation and PowerShell." International Journal on Science and Technology 12, no. 3 (2021): 1–9. https://doi.org/10.5281/zenodo.14613902.

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In modern times, operational efficiency in enterprises can only be driven by automating workflows, decreasing manual errors and optimizing resource allocation. With PowerShell and Azure Automation, you have a powerful approach to automate repetitive work, maintain your cloud resources, and manage consistent scenarios across environments. Organizations can use the functionality offered by Azure Automation to automate processes like patch management, backup scheduling, virtual machine scaling, and resource provisioning, minimizing the burden of administration for an IT team. This is enhanced by

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Chen, Heping, Jianjun Wang, George Zhang, Thomas Fuhlbrigge, and Soenke Kock. "High-precision assembly automation based on robot compliance." International Journal of Advanced Manufacturing Technology 45, no. 9-10 (2009): 999–1006. http://dx.doi.org/10.1007/s00170-009-2041-8.

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Mohammed, Anwar. "AI in Cybersecurity: Enhancing Audits and Compliance Automation." AI in Cybersecurity: Enhancing Audits and Compliance Automation 7, no. 1 (2021): 1–10. https://doi.org/10.5281/zenodo.14760189.

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As organizations increasingly rely on digital infrastructures, the need for robust cybersecurity measures has become paramount. Cybersecurity audits play a crucial role in identifying vulnerabilities and ensuring compliance with regulatory standards. This paper explores the integration of artificial intelligence (AI) in enhancing cybersecurity audits, focusing on automating vulnerability detection and compliance assessments. By examining current methodologies and proposing an AI-driven framework, this research highlights the benefits, challenges, and future implications of utilizing AI in cybe

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Mishra, Sushil Ranjan. "AI-Driven Self-Healing Automation: A Strategic Framework for Business Efficiency, Cost Optimization, and Compliance Management in Background Screening Systems." Scholars Journal of Economics, Business and Management 12, no. 05 (2025): 120–27. https://doi.org/10.36347/sjebm.2025.v12i05.001.

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This paper presents a comprehensive framework for AI-driven self-healing automation within background screening systems. The study explores the application of machine learning techniques to enhance business efficiency, optimize operational costs, and ensure regulatory compliance. Challenges with traditional automation methods—such as high maintenance, limited adaptability, and compliance gaps—are addressed by implementing adaptive AI technologies. Results demonstrate improvements in system resilience, turnaround time, and strategic resource allocation. Moreover, the integration of real-time mo

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GAURAV, KASHYAP. "Infrastructure Automation using Ansible and YAML for IT Environment Build in the Health Insurance Industry." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 10, no. 6 (2024): 1–10. https://doi.org/10.5281/zenodo.14513568.

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The health insurance industry faces complex and dynamic IT environments that demand efficiency, security, and scalability. Infrastructure automation plays a crucial role in enabling health insurance providers to streamline IT operations, maintain compliance, and quickly respond to evolving business needs. This research paper explores the role of Ansible and YAML in automating IT infrastructure builds in the health insurance industry, with a focus on provisioning, configuration management, and orchestration. We discuss the challenges and benefits of automation in a highly regulated sector and p

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Akheel, Syed Arham. "AI Governance and Compliance in Regulated Industries." Journal of Artificial Intelligence & Cloud Computing 2, no. 4 (2023): 1–9. https://doi.org/10.47363/jaicc/2023(2)e217.

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Vaduguru, Naveen Nischal. "Automating the Capital General Rate Case Filing Process Using SAP HANA: A Digital Transformation Approach for Regulatory Compliance." American Journal of Engineering and Technology 7, no. 6 (2025): 178–92. https://doi.org/10.37547/tajet/volume07issue06-20.

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A General Rate Case (GRC) is a formal regulatory process where a utility company requests approval from a regulatory body—such as the California Public Utilities Commission (CPUC)—to adjust customer rates based on projected costs and revenues. Utilities typically submit GRC filings every three years, presenting detailed financial, operational, and capital data. The goal is to justify rate changes needed to support infrastructure, operations, and returns for investors. The process includes public hearings, stakeholder input, and regulatory review before rates are approved, modified, or denied.

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Christiaanse, Rob, and Joris Hulstijn. "Control Automation to Reduce Costs of Control." International Journal of Information System Modeling and Design 4, no. 4 (2013): 27–47. http://dx.doi.org/10.4018/ijismd.2013100102.

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Much compliance effort concerns adherence to contracts. Parties to a contract need to make sure that the other parties will deliver. To this end they may require additional controls in the business process to monitor delivery and induce contractual penalties when needed. Controls have costs. In this paper the authors argue that introducing fully automated controls will help to reduce control costs, because (i) they can prevent misstatements (compliance by design) or (ii) they increase the quality of evidence and thereby reduce the audit risk for the external auditor and corresponding audit fee

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Trudy-Ann Campbell, Samson Eromonsei, and Olusegun Afolabi. "Efficient compliance with GDPR through automating privacy policy captions in web and mobile application." World Journal of Advanced Engineering Technology and Sciences 12, no. 2 (2024): 446–67. http://dx.doi.org/10.30574/wjaets.2024.12.2.0317.

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Ensuring compliance with the General Data Protection Regulation (GDPR) presents significant challenges for organizations, especially those developing web and mobile applications. This study investigates the use of automation to enhance GDPR compliance by generating privacy policy captions through static code analysis and deep learning models. Privacy policy captions offer concise, user-friendly summaries of data processing practices, improving transparency and user trust. The research combines qualitative and quantitative methodologies, including static code analysis of application source code

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Florence Ifeanyichukwu Olinmah, Bisayo Oluwatosin Otokiti, Olayinka Abiola-Adams, and Benjamin Monday Ojonugwa. "Designing Regulatory Risk Reporting Frameworks Using Automation Tools in Banking Sector Compliance." International Journal of Scientific Research in Science, Engineering and Technology 11, no. 5 (2024): 353–67. https://doi.org/10.32628/ijsrset24105476.

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In the evolving landscape of banking sector compliance, regulatory risk reporting has become increasingly complex due to heightened international standards and the proliferation of digital operations. This paper proposes a comprehensive framework for designing regulatory risk reporting systems leveraging automation tools to address persistent challenges such as data fragmentation, reporting delays, and human error. It systematically integrates core design principles including accuracy, transparency, timeliness, and traceability with automation technologies such as robotic process automation an

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Borzakov, Dmitry V. "Digital transformation of compliance management - a strategic solution for business continuity." Vestnik Voronezhskogo gosudarstvennogo universiteta. Ser.: Ekonomika i upravlenie = Proceedings of Voronezh State University. Series: Economics and Management, no. 3 (September 30, 2021): 22–32. http://dx.doi.org/10.17308/econ.2021.3/3523.

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Introduction. Compliance is one of the crucial factors for the implementation of strategic solutions aimed at ensuring business continuity. It is vital both for performing previously assumed obligations and for meeting new requirements from stakeholders in a crisis. In today’s rapidly changing environment, businesses depend on information and information technologies and use them for business continuity planning, thus taking a proactive approach. In this regard, digital transformation of compliance management procedures is required. Purpose. To study modern digital transformation technologies

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Bipin Gajbhiye, Anshika Aggarwal, and DR. Punit Goel. "Security Automation in Application Development Using Robotic Process Automation (RPA)." Universal Research Reports 10, no. 3 (2023): 167–80. http://dx.doi.org/10.36676/urr.v10.i3.1331.

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In the contemporary digital landscape, the rapid advancement of application development necessitates a parallel evolution in security measures. Traditional security practices often struggle to keep pace with the dynamic nature of modern software development. To address these challenges, Robotic Process Automation (RPA) emerges as a transformative tool, offering substantial potential to automate security tasks within the application development lifecycle. This paper explores the integration of RPA into security automation, focusing on its capabilities to enhance security protocols, minimize hum

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Rusetskaya, Irina A. "COMPLIANCE IN INFORMATION SECURITY." RSUH/RGGU Bulletin. Series Information Science. Information Security. Mathematics, no. 2 (2023): 70–80. http://dx.doi.org/10.28995/2686-679x-2023-2-70-80.

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The article is about studying the main approaches to the organization of compliance in solving the issues of ensuring information security. It analyzes the concept of compliance and its main components. Considering the system of compliance functions, the author also analyzes the categories of norms and requirements that underlie the implementation of compliance functions, as well as examples of legal and regulatory documents in the field of information security compliance. There are notes on features of the modern development of compliance in Russia in various fields. The main tasks of complia

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Researcher. "TEST AUTOMATION IN HEALTHCARE SYSTEMS: ENSURING DATA INTEGRITY AND COMPLIANCE." International Journal of Research In Computer Applications and Information Technology (IJRCAIT) 7, no. 2 (2024): 1082–88. https://doi.org/10.5281/zenodo.14076729.

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This article explores the critical role of test automation in healthcare systems, focusing on its importance in maintaining data integrity and regulatory compliance. As healthcare undergoes digital transformation with the proliferation of electronic health records, telemedicine, and interconnected medical devices, the complexity of managing patient data has increased exponentially. The article discusses the challenges faced in implementing test automation, including sensitive data management, system integration, and regulatory adaptation. It also highlights the significant benefits of automate

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Darshan Prakash Patel. "Enhancing healthcare data interoperability with blockchain for compliance automation." World Journal of Advanced Research and Reviews 26, no. 1 (2025): 2744–51. https://doi.org/10.30574/wjarr.2025.26.1.1328.

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This article examines how blockchain technology can revolutionize healthcare data management through enhanced interoperability and automated compliance mechanisms. Healthcare organizations currently face critical challenges with data fragmentation, regulatory adherence, and security vulnerabilities that blockchain architecture addresses through its fundamental characteristics. The decentralized framework creates a secure environment where healthcare stakeholders can exchange information with confidence while maintaining strict privacy controls. Key blockchain components—distributed ledgers, co

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Chinthamu, Narender, Ashish, Victor Emmanuel P, Mathiyalagan P, Syed Zahidur Rashid, and Jothi E. "Robotic Process Automation in Business Processes Streamlining Operations Through Automation Technologies." ITM Web of Conferences 76 (2025): 01005. https://doi.org/10.1051/itmconf/20257601005.

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RPA also known as Robotic Process Automation is revolutionizing the way businesses operate by automating mundane tasks, increasing operational efficiency, and lowering the overall operational cost. Yet, researchers study theoretical benefits prevalent in the State of the Art, without validating them empirically, or studying their impact across industries or in the long term. About the study This study aspires to fill these gaps, offering a data and challenge-driven and scalable framework of RPA adoption. In this study, we incorporate real-world perspectives, AI-supported automation, and proces

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Sari, Dian Purnama, Novrida Qudsi Lutfillah, Sri Rahayu, and Yudi Rahayu. "Taxpayer's Compliance: Towards Voluntary Compliance." 12th GLOBAL CONFERENCE ON BUSINESS AND SOCIAL SCIENCES 12, no. 1 (2021): 19. http://dx.doi.org/10.35609/gcbssproceeding.2021.12(19).

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The understanding of taxpayers' regulatory compliance still remains a big question. There have been some studies discussing about the taxpayers' regulatory compliance. Its variety of variables covers: 1) tax cognition, 2) tax understanding, 3) sunset policy, 4) tax amnesty, 5) tax sanction, 6) taxpayer awareness, 7) tax authorities service, 8) taxpayer's willingness, 9) perception on service effectiveness, 10) tax automation, 11) taxpayer's environment, 12) tax tariff, and 13) many more. A number of studies on the taxpayers' regulatory compliance mentioned indicate that this topic is still a s

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Talluri Durvasulu, Mohan Babu. "Advanced Python Scripting for Storage Automation." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 9, no. 1 (2018): 643–52. https://doi.org/10.61841/turcomat.v9i1.14986.

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Storage automation is critical for managing the vast amounts of data generated in modern computing environments. Advanced Python scripting offers robust solutions for automating storage tasks, enhancing efficiency, scalability, and reliability. This research explores the utilization of Python's versatile libraries and frameworks to develop automated storage systems. We present a comprehensive methodology encompassing system architecture design, data collection and preprocessing, feature engineering, algorithm selection, and model deployment. The study emphasizes the integration of Python scrip

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Matseniuk, Y., and A. Partyka. "THE CONCEPT OF AUTOMATED COMPLIANCE VERIFICATION AS THE FOUNDATION OF A FUNDAMENTAL CLOUD SECURITY MODEL." Computer systems and network 6, no. 1 (2024): 108–23. http://dx.doi.org/10.23939/csn2024.01.108.

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The primary objective of this research is to develop an advanced automated method for configuring and managing public cloud accounts and subscriptions on prominent platforms such as AWS GCP and Azure. This method involves the application of standardized configurations to ensure optimal performance and security compliance. A significant component of this methodology is the intermittent scanning of the infrastructure of these cloud accounts and subscriptions. This scanning is meticulously designed to identify and address any deviations or non-compliance issues with globally recognized security s

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