Reviews
Vol. 3 No. 2 (2024)
Artificial Intelligence Integration in Tax and Customs Systems in Africa: Applications, Impact and Challenges
Department of Accounting and Finance, School of Business and Economics, Mount Kenya University, Kenya
Abstract
The integration of Artificial Intelligence (AI) in tax and customs systems is gaining momentum across Africa, driven by the need for enhanced efficiency, fraud detection, and revenue optimization. While several countries have adopted AI-driven solutions, the extent of implementation, impact, and challenges remain underexplored in existing literature. This paper reviews the current applications, impacts and challenges of AI in African tax and customs administrations. It aims to assess how AI is transforming revenue collection, trade facilitation, and compliance enforcement across the continent. A systematic literature review was conducted on secondary data from peer-reviewed journal articles, conference papers, institutional reports, and policy documents published between 2010 and 2024. The collected data was analyzed using a thematic approach, categorizing findings into three main themes; applications, impact and challenges. The review revealed that AI integration into tax and customs systems in Africa is an ongoing process with immense potential to transform public administration. While countries like Kenya, Uganda, South Africa, and others have made strides in adopting these technologies. Further, artificial intelligence (AI) has been deployed across African tax and customs systems in three primary applications: tax compliance enhancement, fraud detection and customs automation. These implementations have demonstrated measurable improvements in operational efficiency, revenue collection and trade facilitation, though with varying degrees of success across different countries. Challenges such as inadequate infrastructure and technical preparedness, constraints in data availability and standardization, cybersecurity threats, unclear policies and regulations affects optimal AI adoption. The study recommended that African governments should consider strategic investments in AI infrastructure, regulatory reforms and capacity building to enhance revenue collection, transparency and trade facilitation across the region.
References
- Adekunle, S. K. (2022). Tax Administration Strategies, Governance Quality and Performance of States’ Internal Revenue Services in South West, Nigeria (Doctoral dissertation, Kwara State University (Nigeria)).
- Akinola, O. M., & Akinrinola, O. (2023). Impact of tax revenue and infrastructural development on economic growth in Nigeria. Journal of Economics, Management and Trade, 29(3), 1-15.
- Anand, G. S. (2022). Application of Natural Language Processing and Governance Framework for Mining Financial Documents (Doctoral dissertation, SP Jain School of Global Management (India)).
- Asare, Y. (2017). Evaluating the Automated Clearing System at Ghana's Port it's Impact on Exports and Import.
- Bacchetta, M., Cerra, V., Piermartini, R., & Smeets, M. (2021). Trade and inclusive growth.
- Ballas, P., & Balla, V. M. (2024). Enhancing Social and Economic Resilience for a Changing World: The Strategic Role of Continuous Training and Capacity Building in Contemporary Tax and Customs Administrations. In The Role of the Public Sector in Building Social and Economic Resilience: A Public Finance Approach (pp. 157-179). Cham: Springer
- Nature Switzerland.
- Bhengu, T. I. (2023). A critical look at the challenges and benefits of artificial intelligence (AI) in tax administration: A South African perspective.
- Carrim-Ismail, S. (2020). Digitalisation to Enhance Country-by-Country Reporting for Effective Tax Risk Assessment in South Africa (Master's thesis, University of Pretoria (South Africa)).
- Clarke De La Cerda, J., Bejaui, R., & Bonyo, L. (2024). AI innovation in Africa: An overview of opportunities, risks and the legal context. Communication, technologies et développement, (16).
- Diallo, K., Smith, J., Okolo, C. T., Nyamwaya, D., Kgomo, J., & Ngamita, R. (2025). Case studies of AI policy development in Africa. Data & Policy, 7, e15.
- Dunleavy, P., & Margetts, H. (2023). Data science, artificial intelligence and the third wave of digital era governance. Public Policy and Administration, 09520767231198737.
- East African Community (2025). Embrace AI to ease Customs Procedures, EAC Partner States Customs Authorities urged. East African Community. https://www.eac.int/press-releases/142-customs/3289-embrace-ai-to-ease-customs-procedures,-eac-partner-states-customs-authorities-urged
- Egypt's Digital Transformation in Taxation, (2023). https://eta.gov.eg/en/home
- Fabricius, P. (2022, September). Out of Africa. Following the money: uncovering illicit financial flows from Africa to Europe. In Geopolitics of the Illicit (pp. 165-190). Nomos Verlagsgesellschaft mbH & Co. KG.
- Hanningtone, M. A. (2022). Effects of Automation of Customs Systems on Revenue Performance in Kenya (Doctoral dissertation, KESRA/JKUAT-Unpublished research project).
- International Monetary Fund. (2024). Understanding Artificial Intelligence in Tax and Customs Administration.
- Jada, I., & Mayayise, T. O. (2023). The impact of artificial intelligence on organisational cyber security: An outcome of a systematic literature review. Data and Information Management.
- Jankeeparsad, R. W., Jankeeparsad, T. R., & Nienaber, G. (2016). Acceptance of the electronic method of filing tax returns by South African tax payers: an exploratory study. Journal of economic and financial sciences, 9(1), 120-136.
- Javid, H. (2025). Harnessing Artificial Intelligence for Regulatory Compliance: Transparent Systems to Combat Financial Crimes and Ensure Governance.
- Julius, K., & Christabel, M. (2020). Effectiveness and efficiency of artificial intelligence in boosting customs performance: a case study of RECTS at Uganda Customs administration. World Customs Journal, 14(2), 177-192.
- Kaleab, S. (2023). A Big Data Analysis On Effective Risk And Revenue Managment: The Case Of The Ethiopian Ministry Of Customs (Doctoral dissertation).
- Katjomuise, K. (2022). Digitizing Africa, the key to stronger institutions. Africa Renewal. https://www.un.org/africarenewal/magazine/november-2022/digitizing-africa-key-stronger-institutions
- Kavoya, J. (2020). Machine Learning for Intelligence Driven Customs Management. African Tax and Customs Review, 3(2), 1-8. Retrieved from https://atcr.kra.go.ke/index.php/atcr/article/view/65
- Kiang, M. K. (2008). Cargo Security Early Warning System: The Application of Neural Networks to Detect Cargoes with Potential Security Fraud (No. METRANS Project 06-03). METRANS Transportation Center.
- Kipchumba, D. (2022). Factors affecting the implementation of Single Customs territory in the East African Community (Doctoral dissertation).
- Kshetri, N. (2019). Cybercrime and cybersecurity in Africa. Journal of Global Information Technology Management, 22(2), 77-81.
- Kugonza, J., & Christabel, M. (2020). Effectiveness and Efficiency of Artificial Intelligence in Boosting Customs Performance: A Case Study of RECTS at Uganda Customs Administration. World Customs Journal, 14(2), 177-189. Retrieved from https://www.researchgate.netpublication/380738355_Effectiveness_and_Efficiency_of_Artificial_Intelligence_in_Boosting_Customs_Performance_A_Case_Study_of_RECTS_at_Uganda_Customs_Administration
- Kugonza, J., & Mugalula, C. (2023). Effectiveness and efficiency of artificial intelligence in boosting customs performance: A case study of RECTS at Uganda Customs administration. World Customs Journal.
- McCarthy, J. (1959). Programs with common sense.
- Millard, J. (2023). Impact of digital transformation on public governance. European Union, Luxemburg.
- Moodley, K. (2024). Prospects, Challenges and Implications of Deploying Artificial Intelligence in Tax Administration in Developing Countries.
- Mpofu, F. Y. (2024). Prospects, Challenges and Implications of Deploying Artificial Intelligence in Tax Administration in Developing Countries.
- Munjeyi, E., & Schutte, D. (2024). Examining the critical success factors influencing the diffusion of AI in tax administration in Botswana. Cogent Social Sciences, 10(1), 2419537.
- Nizeyimana, C., & De Wulf, L. (2015). Rwanda electronic single window supports trade facilitation. World Customs Journal, 9(2), 73-84.
- Nwaze, P. (2024). The Use of Artificial Intelligence in the Enforcement and Assessment of Taxation Nigeria: An Overview.
- Odia, J., & Akonoafua, S. (2022). Digital Taxation In Nigeria: Issues, Challenges And The Way Forward. Journal of Taxation and Economic Development, 21(1), 75-92.
- Oeta, A. N. (2017). iTax and Revenue Collection by Kenya Revenue Authority In Western Region, Kenya (Doctoral dissertation, University of Nairobi).
- Ogunbela, G. K., Akinboboye, O. M., & Ogunbiyi, T. L. (2021). Tax regime and challenges of scaling up tax collection in Nigerian informal economy. Journal of Public Administration, Finance and Law, 10(20), 250-266.
- Oosthuizen, M. E., & Motsatsi, T. (2025). Sustainable Development in Sub-Saharan Africa through Fourth Industrial Revolution (4IR) Technologies: Addressing Poverty, Education, and Infrastructure Challenges. OIDA International Journal of Sustainable Development, 18(05), 49-64.
- Priyadi, U., & Arwani, A. (2024). Digital transformation: Artificial intelligence shaping the future of public sector. New Applied Studies in Management, Economics & Accounting, 7(4), 54-67.
- 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.
- Regteck Africa, 2024). Kenya to Leverage AI and Machine Learning for Tax Evasion Detection. https://regtechafrica.com/kenya-to-leverage-ai-and-machine-learning-for-tax-evasion-detection/?utm_source=chatgpt.com
- Schlenther, B. O. (2016). Addressing illicit financial flows in Africa: How broad is the whole of government approach supposed to be?. Journal of Financial Crime, 23(4), 1074-1091.
- Smason, D., Atambo, A., Kwera, S., & Busingye, F. (2024). Can artificial intelligence revolutionise customs in Africa? AllAfrica. https://allafrica.com/stories/202412060032.html
- Tembine, H., Tapo, A. A., Danioko, S., & Traoré, A. (2024). Machine Intelligence in Africa: a survey. Authorea Preprints.
- Van Rooi, B. (2023). The potential impact of the 4IR on Tax Administration in South Africa. University of Johannesburg (South Africa).
- White & Case LLP. (2024). AI Watch: Global regulatory tracker - African Union. Retrieved from https://www.whitecase.com/insight-our-thinking/ai-watch-global-regulatory-tracker-african-union