Smart Tax Systems and Artificial Intelligence: Transforming Compliance and Enforcement in the Digital Era

Sajid, Muhammad Hammad and Ali, Amjad and Jadoon, Atif Khan (2025): Smart Tax Systems and Artificial Intelligence: Transforming Compliance and Enforcement in the Digital Era.

Abstract

This study explores the relationship between artificial intelligence, automation, and tax compliance and enforcement, focusing on the development and implementation of smart tax systems in various countries. Faced with persistent challenges such as tax evasion, non-compliance, and operational inefficiencies, many tax administrations worldwide have adopted emerging digital technologies to modernize their systems. The study employs a quantitative research design using secondary data to analyze trends in tax-to-gross domestic product ratios, voluntary compliance rates, and enforcement outcomes before and after the implementation of artificial intelligence. The findings indicate that integrating artificial intelligence and automation into tax processes leads to substantial improvements in compliance behavior, fraud detection, and revenue collection. Countries that have implemented electronic invoicing, predictive analytics, and intelligent audit tools have achieved greater enforcement capacity and improved taxpayer services, particularly where digital infrastructure and effective governance are present. While advanced economies typically lead in digital readiness and transformation, many emerging and developing countries are also making significant progress through automation, expanding their tax base, and increasing transparency. The study concludes that adopting smart tax systems is a crucial step toward more responsive, transparent, and data-driven governance. However, their effectiveness hinges on specific measures such as tailoring implementation strategies to each country’s digital maturity, enacting clear legal frameworks to govern automated decision-making, and ensuring continuous investment in digital infrastructure, cybersecurity, and capacity-building within tax authorities.

• Item Type: MPRA Paper
• Language: English
• Keywords: Artificial Intelligence, Tax Compliance, Smart Tax Systems, Automation, Revenue Collection
• Subjects: O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights

References

Abigail, E. C. (2023). Unlocking economic growth through taxation in the case of Nigeria. Journal of Business and Economic Options, 6(4), 21–27.

Accenture. (2022). Digital tax transformation: Accelerating compliance through intelligent automation.

Adebayo, T., & Musa, Y. (2023). Artificial intelligence and tax compliance in Africa: Bridging gaps and boosting efficiency. Journal of African Economic Policy, 14(2), 45–68.

Alarie, B. (2023). AI and the future of tax avoidance. Tax Notes Federal, 1809.

Alarie, B., McCreight, R., & Tucciarone, C. (2023). Automated tax planning: Who’s liable when AI gets it wrong? Tax Notes Federal, 2297.

Ali, A., & Audi, M. (2018). Macroeconomic environment and taxes revenues in Pakistan: An application of ARDL approach. Bulletin of Business and Economics, 7(1), 30–39.

Ammar, M., Ali, A., & Audi, M. (2025). The impact of financial literacy on investment decisions: The mediating role of peer influence and the moderating role of financial status. Journal for Current Sign, 3(2), 379–411.

Aslett, M., Wilson, R., & Karim, S. (2024). Technological innovation and digital tax governance: Global patterns and outcomes. Journal of Public Sector Technology, 11(2), 77–94.

Audi, M. (2024). Exploring fiscal dynamics between resource and non-resource tax revenues in oil-dependent countries. Journal of Energy and Environmental Policy Options, 7(4), 20–30.

Audi, M., Ali, A., & Roussel, Y. (2021). Measuring the tax buoyancy: Empirics from South Asian Association for Regional Cooperation (SAARC) (No. 109567). University Library of Munich, Germany.

Australian Government Services Australia. (2020). Robodebt scheme class action settlement.

Aladejebi, O., & Oladimeji, J. (2023). Digital tax reforms and revenue generation in Sub-Saharan Africa: Challenges and opportunities. African Journal of Accounting, Auditing and Finance, 9(1), 22–38.

Azmi, A. C., & Ramalingam, H. (2020). Artificial intelligence in Malaysian tax administration: The way forward. eJournal of Tax Research, 18(1), 90–109.

Baker Institute for Public Policy. (2023). AI and taxes: A work in progress – Part 1.

Bazárbash, M., & Soto, M. (2024). AI and public revenue collection: Trends, challenges, and opportunities. IMF Working Paper.

Bell, E., Bryman, A., & Harley, B. (2022). Business research methods (6th ed.). Oxford University Press.

Berg, A., Buffie, E. F., Pattillo, C., & Zanna, L. F. (2022). Digital technologies and inclusive growth. IMF Staff Discussion Note.

Bezditnyi, V. (2024). Use of artificial intelligence for tax planning optimization and regulatory compliance. Research Corridor Journal of Engineering Science, 1(1), 103–142.

Bryman, A., & Bell, E. (2015). Business research methods (4th ed.). Oxford University Press.

Crespo, J., & Medina, L. (2023). Toward smart tax ecosystems: Integrating AI and blockchain for next-generation compliance. Latin American Journal of Fiscal Innovation, 3(2), 102–129.

Das, L. (2024). Tax revenue and economic performance in Malaysia: A time series analysis. Journal of Business and Economic Options, 7(2), 33–40.

Das, S., Kim, J., & Chen, L. (2023). Artificial intelligence and the taxpayer experience: Evidence from OECD countries. OECD Working Papers.

Deloitte. (2022). Global indirect tax AI trends: Enhancing VAT and GST compliance with automation. Deloitte Insights.

Dastin, J. (2021). Dutch government resigns over child welfare scandal. Reuters.

Daude, C., Melguizo, Á., & Neut, A. (2023). Digital transformation and tax administration in Latin America: Trends, challenges, and opportunities. OECD Development Centre Working Papers, 343, 1–35

Elmasry, R., & Said, A. (2023). Artificial intelligence and tax administration in emerging economies: Improving transparency and compliance. Journal of Digital Governance and Policy, 15(2), 134–152.

Ernst & Young. (2024). AI and the transformation of tax compliance.

European Commission. (2022). Digital taxation and VAT/GST e-invoicing in Europe.

EY. (2023). The rise of smart taxation: Exploring AI’s role in tax compliance. EY Global Tax Insights.

Ezeife, E., Kokogho, E., Odio, P. E., & Adeyanju, M. O. (2021). The future of tax technology in the United States: A conceptual framework for AI-driven tax transformation. Future, 2(1).

Farouk, A., & Ibrahim, K. (2023). Personalizing tax services with AI: Enhancing taxpayer support in the Middle East. Middle East Journal of Digital Transformation, 5(3), 71–94.

Fatima, K., Abbas, A., & Malik, M. (2023). Public trust in AI and tax compliance: Evidence from South Asia. Journal of Digital Governance, 9(2), 117–132.

Faúndez-Ugalde, A., & Mellado-Silva, R. (2023). Use of robotic process automation for tax administrations and its impact on human rights. Revista Chilena de Derecho y Tecnología, 12, 65457.

Gonzalez, M. R., & Pereira, J. D. (2023). Automating the audit: AI tools and the evolution of tax authority inspections in Iberian systems. Public Sector Informatics Quarterly, 9(4), 77–99.

Gupta, A., Keen, M., & Muth, P. (2022). Digital public finance: A framework for addressing the challenges. IMF Working Paper WP/22/161.

HMRC. (2022). Making tax digital: UK VAT and automation for businesses.

IBM. (2022). AI and automation in government: Driving smarter tax operations.

International Monetary Fund. (2023). Exploring the adoption of selected digital technologies in tax administration: A cross-country perspective. IMF Note 2023/008.

International Monetary Fund. (2025). Leveraging digital technologies in boosting tax collection. IMF Working Paper No. 2025.

Iqbal, Z., & Hayat, M. (2025). Determinants of financial-technology adoption: The roles of social influence and financial inclusion in the banking sector. Journal of Business and Economic Options, 8(2), 20–30.

Johnston, M. P. (2017). Secondary data analysis: A method of which the time has come. Qualitative and Quantitative Methods in Libraries, 3(3), 619–626.

Kallianiotis, I. (2022). Tax reform imperative: Alleviating financial burden and fostering middle-class prosperity in the US economy. Journal of Business and Economic Options, 5(1), 48–57.

Kapoutsis, I., & Karampinis, N. (2024). AI integration in tax administrations: Efficiency and strategic benefits. Journal of Public Sector Automation, 12(1), 45–60.

Kodithuwak, S., & Pacillo, N. (2025). Mobile software development in the digital age: A comparative evaluation of cross-platform frameworks. Journal of Policy Options, 8(2), 9–17.

Kovacev, R. (2020). A taxing dilemma: Robot taxes and the challenges of effective taxation of AI, automation and robotics in the fourth industrial revolution. Ohio State Technology Law Journal, 16, 182.

Kassim, E. S., & Shamsuddin, A. (2024). Taxpayer awareness and the effectiveness of artificial intelligence in tax enforcement in emerging economies. Journal of International Taxation and Digital Economy, 6(2), 55–71.

KPMG. (2022). Future of tax: How tax transformation is reshaping the function.

Lavoie, R., & Peters, C. (2022). AI and tax dispute resolution: Fairness, efficiency, and policy considerations. Tax Law Review Journal, 68(3), 299–321.

Leung, S., & Chan, M. (2023). AI for compliance and efficiency: A comparative study of tax systems in East Asia. Asia-Pacific Journal of E-Governance, 8(4), 142–165.

McKinsey & Company. (2021). Smart tax administration: Using AI to drive compliance and revenue.

Medina, L., & Schneider, F. (2018). Shadow economies around the world: What did we learn over the last 20 years? IMF Working Paper 18/17.

Minella, C. (2025). Managing agile across borders: A review of Scrum implementation in globally distributed software development. Journal of Policy Options, 8(2), 37–45.

Nwosu, J., & Folarin, O. (2025). Bridging the formality divide: A cross-national analysis of economic informality determinants. Journal of Business and Economic Options, 8(2), 1–9.

OECD. (2023). Tax administration 2023: Comparative information on OECD and other advanced and emerging economies.

Okunogbe, O., & Pouliquen, V. (2022). Technology, taxation, and corruption: Evidence from the introduction of electronic tax filing. American Economic Journal: Economic Policy, 14(1), 341–372.

Olabanji, K., Mensah, A., & Tunde, A. (2024). Artificial intelligence and tax administration in Sub-Saharan Africa: A pathway to formalization. African Journal of Economic Transformation, 8(1), 91–108.

Organisation for Economic Co-operation and Development. (2021). Tax administration 3.0: Leveraging AI for tax compliance.

Organisation for Economic Co-operation and Development. (2022). Digital transformation in tax administrations: Opportunities and risks.

Organisation for Economic Co-operation and Development. (2023). AI adoption in public administration: Tax case studies.

PwC. (2022). How AI and automation are changing tax compliance and enforcement.

Rahman, S., Sirazy, M. R. M., Das, R., & Khan, R. S. (2024). An exploration of artificial intelligence techniques for optimizing tax compliance, fraud detection, and revenue collection in modern tax administrations. International Journal of Business Intelligence and Big Data Analytics, 7(3), 56–80.

Resnik, D. B. (2020). The ethics of research with human subjects: Protecting people, advancing science, promoting trust. Springer.

Rosenbaum, D., & Hartley, M. (2024). Predictive analytics in tax enforcement: AI’s role in U.S. fraud detection. American Journal of Data Science and Governance, 6(1), 88–111.

Ruiz, M. A. G. (2021). Fiscal transformations due to AI and robotization: Where do recent changes in tax administrations, procedures and legal systems lead us? Northwestern Journal of Technology and Intellectual Property, 19, 325.

SAP. (2023). E-invoicing and intelligent tax systems: A global perspective.

Shaukat, H., Ali, A., & Audi, M. (2025). Artificial intelligence and economic transformation: Implications for growth, employment, and policy in the digital age. Research Consortium Archive, 3(2), 852–869.

Tanaka, H., & Sato, Y. (2023). Integrating AI into Japan’s tax administration: Lessons from a digital transition. Asian Journal of Public Administration and Innovation, 11(1), 25–46.

Umair, S. M., Ali, A., & Audi, M. (2025). Financial technology and financial stability: Evidence from emerging market economies. Research Consortium Archive, 3(1), 506–531.

United Nations Conference on Trade and Development. (2021). Data governance and the digital economy.

United Nations Economic and Social Commission for Asia and the Pacific. (2023). Emerging digital technologies in taxation.

Wang, M. (2024). AI technologies in modern taxation: Applications, challenges, and strategic directions. International Journal of Finance and Investment, 1(1), 42–46.

World Bank. (2021). Digital transformation of tax administrations: Lessons and opportunities.

World Bank. (2023). Why tax administrations are embracing digital transformation.

World Economic Forum. (2022). AI governance in public finance: Risk, ethics, and opportunity.