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It addresses persistent barriers including tax evasion, non-compliance, and operational inefficiencies, highlighting how administrations use digital technologies to modernize processes. Using quantitative analysis with secondary data, it evaluates shifts in tax-to-GDP ratios, voluntary compliance, and enforcement performance before and after AI adoption. Results show measurable gains in compliance behavior, fraud detection, and revenue collection, supported by electronic invoicing, predictive analytics, and intelligent audits, while effectiveness depends on implementation fit, legal governance, and sustained investment in digital infrastructure, cybersecurity, and staff capacity.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/smart-tax-systems-and-artificial-intelligence-transforming-compliance-and-enforcement-in-the-digital-era/638871/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/smart-tax-systems-and-artificial-intelligence-transforming-compliance-and-enforcement-in-the-digital-era/638871.png","ImageObject",300,407,{"name":92,"@type":93},"Jiven","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-04","2026-10-22",true,{"@type":102,"interactionType":103,"userInteractionCount":19},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the main focus of the study?","Question",{"text":112,"@type":113},"The study focuses on how artificial intelligence and automation affect tax compliance and enforcement through smart tax systems in different countries.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How does the study evaluate impact?",{"text":117,"@type":113},"It uses a quantitative research design with secondary data to analyze trends such as tax-to-GDP ratios, voluntary compliance rates, and enforcement outcomes before and after AI implementation.",{"name":119,"@type":110,"acceptedAnswer":120},"Which smart tax capabilities are highlighted as improving enforcement?",{"text":121,"@type":113},"The document highlights electronic invoicing, predictive analytics, and intelligent audit tools as ways to strengthen enforcement capacity and improve compliance and taxpayer services.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},638871,1792700238,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":19,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":129,"read_time":144},1099513958607,"https://ap-avatar.wpscdn.com/avatar/100002390cf8733938c?x-image-process=image/resize,m_fixed,w_180,h_180&k=1778829742770036399","Munich Personal RePEc Archive  \nSmart Tax Systems and Artificial Intelligence: Transforming Compliance and Enforcement in the Digital Era  \nSajid, Muhammad Hammad and Ali, Amjad and Jadoon, Atif Khan  \nLahore School of Accountancy and Finance, University of Lahore, Pakistan, Lahore School of Accountancy and Finance, University of Lahore, Pakistan, Department of Economics, University of the Punjab, Pakistan  \n2025  \nOnline at [https://mpra. ub. uni-muenchen. de/127541/](https://mpra. ub. uni-muenchen. de/127541/)  \n[MPRA Paper No. 127541](MPRA Paper No. 127541) , [posted 03 Mar 2026 05:45 UTC](posted 03 Mar 2026 05:45 UTC)  \nSmart Tax Systems and Artificial Intelligence: Transforming Compliance and Enforcement in  \nthe Digital Era  \nMuhammad Hammad Sajid  \nLahore School of Accountancy and Finance, University of Lahore, Pakistan  \nAmjad Ali*  \nLahore School of Accountancy and Finance, University of Lahore, Pakistan  \nAtif Khan Jadoon  \nDepartment of Economics, University of the Punjab, Pakistan  \nAbstract  \nThis 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.  \nKeywords: Artificial Intelligence, Tax Compliance, Smart Tax Systems, Automation, Revenue  \nCollection  \n* [chanamjadali@yahoo.com](chanamjadali@yahoo.com)  \n1. Introduction  \nAdvancements in digitalization have significantly transformed the global operation of tax systems within public administration. The emergence of “smart tax systems,” which combine artificial intelligence, automation, and big data analytics, is among the most notable developments. These systems increase compliance, enhance enforcement, and improve taxpayer services (Organisation for Economic Co-operation and Development, 2021; Ernst & Young, 2023; PricewaterhouseCoopers, 2022) . By replacing traditional paper-based methods with data-driven and responsive processes, smart tax systems automate previously manual and error-prone tasks, reducing mistakes, speeding up operations, and instantly personalizing taxpayer experiences. This enables tax authorities to meet taxpayer needs more effectively and allocate resources to areas with higher risks of non-compliance. Many governments now rely on artificial intelligence and automation to address persistent issues such as tax evasion, ","cbCaiv2KFsX8zbQD","https://ap.wps.com/l/cbCaiv2KFsX8zbQD","pdf",490417,23,"English","# Abstract\n# Introduction\n## Smart tax systems and digital transformation\n## Evidence and country examples","[{\"question\":\"What is the main focus of the study?\",\"answer\":\"The study focuses on how artificial intelligence and automation affect tax compliance and enforcement through smart tax systems in different countries.\"},{\"question\":\"How does the study evaluate impact?\",\"answer\":\"It uses a quantitative research design with secondary data to analyze trends such as tax-to-GDP ratios, voluntary compliance rates, and enforcement outcomes before and after AI implementation.\"},{\"question\":\"Which smart tax capabilities are highlighted as improving enforcement?\",\"answer\":\"The document highlights electronic invoicing, predictive analytics, and intelligent audit tools as ways to strengthen enforcement capacity and improve compliance and taxpayer services.\"}]","Smart Tax Systems and Artificial Intelligence: Transforming Compliance and Enforcement in the Digital Era | PDF",58]