A Control Optimization Model for Strengthening Corporate Governance through Digital Audit Technologies and Workflow Systems
Keywords:
Corporate Governance, Control Optimization Model, Digital Audit Technologies, Workflow Automation, Intelligent Audit Trails, Continuous Control Monitoring, Robotic Process Automation (RPA), Artificial Intelligence in Governance, Blockchain for Audit, Cloud-Based Audit Platforms, Risk-Based Governance, Compliance Automation, Internal Controls, Governance Innovation, Real-Time AuditAbstract
In an increasingly digital and compliance-driven business environment, traditional corporate governance structures often lack the responsiveness and transparency needed to mitigate emerging risks and regulatory pressures. This paper proposes a Control Optimization Model (COM) designed to strengthen corporate governance by integrating digital audit technologies and workflow automation systems. The model focuses on enhancing real-time visibility, accountability, and control efficiency across corporate operations by embedding automated checks, predictive analytics, and traceable workflows into governance processes. The COM is built on three interconnected pillars: intelligent audit trails, continuous control monitoring (CCM), and digitally enabled governance workflows. By leveraging technologies such as robotic process automation (RPA), artificial intelligence (AI), blockchain-based ledgers, and cloud audit platforms, the model allows organizations to transition from periodic manual audits to continuous, real-time governance assurance. It also facilitates risk-based prioritization, early anomaly detection, and data-driven decision-making by board members and senior management. Empirical insights from financial services, manufacturing, and logistics firms in emerging and developed markets reveal that the implementation of digital audit technologies improves internal control systems, reduces compliance costs, and enhances stakeholder confidence. However, integration challenges such as data silos, employee resistance, and skill gaps persist. The proposed model addresses these through a structured adoption roadmap, including digital readiness assessment, phased deployment, training, and continuous performance evaluation. This research contributes a practical governance innovation for organizations aiming to navigate the complexities of modern compliance environments. It enables alignment with international frameworks such as COSO, COBIT, and ISO 37000, while tailoring controls to organizational context. The COM is particularly valuable for large, multilayered institutions seeking to embed ethical conduct, financial integrity, and regulatory accountability into their operational DNA.
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Ogunwole, O., Onukwulu, E. C., Sam-Bulya, N. J., Joel, M. O., & Achumie, G. O. (2022). Optimizing automated pipelines for real-time data processing in digital media and e-commerce. International Journal of Multidisciplinary Research and Growth Evaluation, 3(1), 112–120. https://doi.org/10.54660/.IJMRGE.2022.3.1.112-120
Ogunwole, O., Onukwulu, E. C., Sam-Bulya, N. J., Joel, M. O., & Ewim, C. P. (2022). Enhancing risk management in big data systems: A framework for secure and scalable investments. International Journal of Multidisciplinary Comprehensive Research, 1(1), 10–16. https://doi.org/10.54660/IJMCR.2022.1.1.10-16
Ogunwole, O., Onukwulu, E.C., Joel, M.O., Achumie, G.O. & Adaga, E.M., 2024. Cybersecurity Risk Modeling and AI-Driven Threat Intelligence for Enterprise Networks. International Journal of Management and Entrepreneurship Research, 3(2), pp.127-136.
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Ogunwole, O., Onukwulu, E.C., Joel, M.O., Adaga, E.M. & Achumie, G.O., 2024. Cloud-Native Architecture for Energy Sector Transformation: Case Study of African Decentralized Grids. Modern Energy Governance and Economics, 2(1), pp.17-31.
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Ogunwole, O., Onukwulu, E.C., Sam-Bulya, N.J., Adaga, E.M. & Achumie, G.O., 2024. Artificial Intelligence and the Circular Economy: Frameworks for Sustainable Manufacturing. International Journal of Environmental Sustainability & Green Technologies, 1(1), pp.103-117.
Ogunwole, O., Onukwulu, E.C., Sam-Bulya, N.J., Joel, M.O. & Adaga, E.M., 2024. Cross-Border Payment Systems and Central Bank Digital Currencies: A Distributed Ledger Framework. International Journal of Financial Innovation in Banking, 3(1), pp.29-40.
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Ojika, F. U., Owobu, W. O., Abieba, O. A., Esan, O. J., Ubamadu, B. C., & Daraojimba, A. I. (2023). Enhancing User Interaction through Deep Learning Models: A Data-Driven Approach to Improving Consumer Experience in E-Commerce.
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Ojika, F.U., Onaghinor, O., Esan, O.J., Daraojimba, A.I. & Ubamadu, B.C., 2023. A Predictive Analytics Model for Strategic Business Decision-Making: A Framework for Financial Risk Minimization and Resource Optimization. International Journal for Scientific Research and Development, 11(4), pp.109-115.
Ojika, F.U., Onaghinor, O., Esan, O.J., Daraojimba, A.I. & Ubamadu, B.C., 2024. AI-Enhanced Knowledge Management Systems: A Framework for Improving Enterprise Search and Workflow Automation through NLP and TensorFlow. International Journal for Scientific Research and Development, 12(1), pp.13-21.
Ojika, F.U., Onaghinor, O., Esan, O.J., Daraojimba, A.I. & Ubamadu, B.C., 2023. Creating a Machine Learning-Based Conceptual Framework for Market Trend Analysis in E-Commerce: Enhancing Customer Engagement and Driving Sales Growth. International Journal of Advanced Research in Computer and Communication Engineering, 12(9), pp.45-54.
Ojika, F.U., Onaghinor, O., Esan, O.J., Daraojimba, A.I. & Ubamadu, B.C., 2023. A Conceptual Framework for AI-Driven Digital Transformation: Leveraging NLP and Machine Learning for Enhanced Data Flow in Retail Operations. International Journal of Innovative Technology and Exploring Engineering, 13(2), pp.112-119.
Ojika, F.U., Onaghinor, O., Esan, O.J., Daraojimba, A.I. & Ubamadu, B.C., 2023. Transforming Cloud Computing Education: Leveraging AI and Data Science for Enhanced Learning Outcomes. International Journal of Engineering Research & Technology, 12(6), pp.66-74.
Ojika, F.U., Onaghinor, O., Esan, O.J., Daraojimba, A.I., & Ubamadu, B.C., 2023. A Predictive Analytics Model for Strategic Business Decision-Making: A Framework for Financial Risk Minimization and Resource Optimization. IRE Journals, 7(2), pp.764–769. DOI:
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Ojika, F.U., Owobu, W.O., Abieba, O.A., Esan, O.J., Ubamadu, B.C. & Daraojimba, A.I., 2023. Optimizing AI Models for Cross-Functional Collaboration: A Framework for Improving Product Roadmap Execution in Agile Teams. International Journal of Multidisciplinary Research and Growth Evaluation, 4(1), pp.215–229. DOI: 10.54660/IJMRGE.2023.4.1.215-229.
Ojika, F.U., Owobu, W.O., Abieba, O.A., Esan, O.J., Ubamadu, B.C. & Daraojimba, A.I., 2022. The Impact of Machine Learning on Image Processing: A Conceptual Model for Real-Time Retail Data Analysis and Model Optimization. International Journal of Multidisciplinary Research and Growth Evaluation, 3(1), pp.861–875. DOI: 10.54660/IJMRGE.2022.3.1.861-875.
Ojika, F.U., Owobu, W.O., Abieba, O.A., Esan, O.J., Ubamadu, B.C. & Daraojimba, A.I., 2022. The Role of Artificial Intelligence in Business Process Automation: A Model for Reducing Operational Costs and Enhancing Efficiency. International Journal of Multidisciplinary Research and Growth Evaluation, 3(1), pp.842–860. DOI: 10.54660/IJMRGE.2022.3.1.842-860.
Ojika, F.U., Owobu, W.O., Abieba, O.A., Esan, O.J., Ubamadu, B.C. & Daraojimba, A.I., 2023. Transforming Cloud Computing Education: Leveraging AI and Data Science for Enhanced Access and Collaboration in Academic Environments. Journal of Frontiers in Multidisciplinary Research, 4(1), pp.138–156. DOI: 10.54660/IJFMR.2023.4.1.138-156.
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Okolie, C.I., Hamza, O., Eweje, A., Collins, A., Babatunde, G.O., & Ubamadu, B.C., 2022. Implementing Robotic Process Automation (RPA) to Streamline Business Processes and Improve Operational Efficiency in Enterprises. International Journal of Social Science Exceptional Research, 1(1), pp.111-119. Available at: https://doi.org/10.54660/.IJMRGE.2022.1.1.111-119.
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Okolo, F. C., Etukudoh, E. A., Ogunwole, O., Osho, G. O., & Basiru, J. O. (2023). Advances in Cyber-Physical Resilience of Transportation Infrastructure in Emerging Economies and Coastal Regions.
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Okolo, F.C., Etukudoh, E.A., Ogunwole, O., Osho, G.O., & Basiru, J.O., 2023. A Conceptual Model for Balancing Automation, Human Oversight, and Security in Next-Generation Transport Systems. Engineering and Technology Journal, 4(1), pp.188–198. DOI:
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Olajide, J. O., Otokiti, B. O., Nwani, S., Ogunmokun, A. S., & Iyanu, B. (2022). A Predictive Forecasting Framework for Inventory and Logistics Efficiency in Consumer Goods Supply Chains.
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Olajide, J.O., Otokiti, B.O., Nwani, S., Ogunmokun, A.S., Adekunle, B.I. & Fiemotongha, J.E., 2022. Building working capital optimization frameworks for digital lending startups in emerging markets. Shodhshauryam, International Scientific Refereed Research Journal, 5(2), pp.164–177. Available at: https://www.shisrrj.com
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Olajide, J.O., Otokiti, B.O., Nwani, S., Ogunmokun, A.S., Adekunle, B.I. & Fiemotongha, J.E., 2022. Integrating real-time freight optimization algorithms into distribution network design for e-commerce operations. Shodhshauryam, International Scientific Refereed Research Journal, 5(2), pp.205–218. Available at: https://www.shisrrj.com
Olajide, J.O., Otokiti, B.O., Nwani, S., Ogunmokun, A.S., Adekunle, B.I. & Fiemotongha, J.E., 2022. A framework for gross margin improvement in retail financial services using customer segmentation and predictive analytics. Shodhshauryam, International Scientific Refereed Research Journal, 5(2), pp.113–122. Available at: https://www.shisrrj.com
Olajide, J.O., Otokiti, B.O., Nwani, S., Ogunmokun, A.S., Adekunle, B.I. & Fiemotongha, J.E., 2022. Building an IFRS-driven internal reporting framework for fintech firms with multiple funding streams. Shodhshauryam, International Scientific Refereed Research Journal, 5(2), pp.86–100. Available at: https://www.shisrrj.com
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