Public Sector Accounting and Budgeting

Public Sector Accounting and Budgeting

Integrating AI-driven tax technology into business strategy

Document Type : Review Article

Authors
1 Department of Accounting, University of Sistan and Baluchestan, Zahedan, Iran
2 Department of Accounting, Faculty of Humanities, University of Zanjan, Zanjan, Iran
3 Auditor of the Tax Affairs Organization
10.22034/psab.2026.238038
Abstract
The integration of artificial intelligence into tax technologies creates transformative potential for enhancing business strategies through significant improvements in efficiency, accuracy, and regulatory compliance. Through a critical review of the literature, this article examines the role of AI driven innovations in reconfiguring tax functions and demonstrates how this technology can support the effective management of the growing complexity of tax regulations by automating complex tax processes. At the same time, the study emphasizes the dual role of artificial intelligence, such that alongside operational and strategic benefits, it also entails challenges including data security risks, privacy concerns, and the need for robust ethical frameworks to guide appropriate use. The findings indicate that AI based tax technology can meaningfully improve tax functions and strategic planning, provided that the associated risks are carefully identified and managed. Ultimately, the article highlights the importance of balancing the adoption of technological advances with risk management and presents a roadmap for the successful integration of artificial intelligence into business practices.
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Volume 6, Issue 4 - Serial Number 22
November 2025
Pages 131-146

  • Receive Date 19 October 2025
  • Revise Date 28 November 2025
  • Accept Date 20 December 2025