[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-82599-en":3,"doc-seo-82599-105":29,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":13,"seo_description":14,"update_tm":27,"read_time":28},82599,8796095360427,"Lucas Martin","https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d",8,"Research & Report","Artificial Intelligence-Enabled Accounting Information Systems and Fraud Detection in Nigeria’s Financial Services Sector","Digitalisation of financial systems boosts operational efficiency and inclusion while raising exposure to cyber-enabled fraud and electronic financial misconduct. Traditional auditing, relying on retrospective verification and rule-based monitoring, struggles with the speed and complexity of modern crime. The study evaluates how AI-enabled Accounting Information Systems improve auditing and fraud detection in Nigeria’s financial services sector and tests whether Natural Language Processing strengthens these effects. A quantitative cross-sectional survey of 186 professionals is analysed using regression and moderated regression, guided by Fraud Diamond Theory and TAM.","arXiv :2607 .0 1257v 1 [ cs .CY] 4 Jun 2026  \nArtificial Intelligence-Enabled Accounting Information Systems and Fraud Detection in Nigeria’s Financial Services Sector: The Moderating Role of Natural Language Processing  \nTimothy Oluwapelumi Adeyemi 1* and Abigail Omotola Ojogbede2  \n1*WeAreGenius Research Institute, Founder and Principal Researcher,  \nLagos, Nigeria.  \n2 Park University, MBA, United States.  \n*Corresponding author(s). E-mail(s): [atimothy.dev@gmail.com](atimothy.dev@gmail.com) ; Contributing authors: [abigailojogbede@gmail.com](abigailojogbede@gmail.com) ;  \nAbstract  \nThe rapid digitalisation of financial systems has improved operational efficiency and financial inclusion while simultaneously increasing exposure to sophisticated forms of cyber-enabled fraud and electronic financial misconduct. Conventional auditing systems, which largely depend on retrospective verification and rulebased monitoring, increasingly struggle to address the complexity and speed of modern financial crime. Consequently, financial institutions are progressively adopting Artificial Intelligence (AI)-enabled Accounting Information Systems (AIS) and Natural Language Processing (NLP) technologies to strengthen fraud detection, continuous auditing, and institutional monitoring.  \nThis study examined the influence of AI-enabled AIS on auditing and fraud detection effectiveness within Nigeria’s financial services sector while additionally evaluating the moderating role of NLP. Anchored on the Fraud Diamond Theory and the Technology Acceptance Model, the study adopted a quantitative cross-sectional survey design. Primary data were collected from 186 professionals across banking, insurance, and FinTech institutions in Nigeria. Data were analysed using descriptive statistics, multiple regression, and hierarchical moderated regression techniques.  \nThe findings revealed that AI-enabled AIS significantly improves auditing and fraud detection effectiveness, particularly through prevention, detection, data analysis, and investigative capabilities. The results further indicated that NLP  \n1  \npositively moderates the relationship between AI-enabled AIS and auditing effectiveness by improving semantic interpretation and analytical explainability.  \nThe study concludes that AI-enabled AIS and NLP are increasingly important for strengthening fraud governance, regulatory accountability, and institutional trust within emerging digital financial environments.  \nKeywords: Artificial Intelligence, Accounting Information Systems, Fraud Detection, Natural Language Processing, Financial Governance, Nigeria.  \n1 Introduction  \nThe accelerating digital transformation of global financial systems has fundamentally reshaped the operational architecture of banking, accounting, auditing, and institutional governance. Over the past decade, advances in cloud computing, electronic payment infrastructures, mobile banking technologies, real-time settlement systems, and financial technology (FinTech) platforms have significantly improved operational efficiency, financial accessibility, and transactional connectivity across modern financial ecosystems. These technological developments have expanded financial inclusion, strengthened digital commerce, and increased the speed and scale of financial intermediation. However, the same innovations have simultaneously intensified institutional exposure to increasingly sophisticated forms of cyber-enabled financial crime and digitally coordinated fraud.  \nContemporary financial fraud has evolved far beyond traditional accounting manipulation and isolated transactional irregularities. Modern fraud schemes increasingly involve synthetic identity fraud, phishing operations, account takeovers, insiderassisted misconduct, transaction laundering, social engineering attacks, and coordinated digital deception networks capable of bypassing conventional monitoring structures. The increasing sophistication, velocity, and interconnected natur","cbCaiiz33Whs5xcG","https://ap.wps.com/l/cbCaiiz33Whs5xcG","pdf",312201,1,21,"English","en",105,"# Abstract\n# Introduction\n## Digital transformation and fraud escalation\n## Governance challenges in emerging economies\n## Nigeria’s financial ecosystem and vulnerabilities\n# Methodology and analysis\n## Study design and data collection\n## Measurement and statistical techniques\n# Findings and implications\n## Effect of AI-enabled AIS on auditing and detection\n## Moderating role of NLP\n# Conclusion","[{\"question\":\"What problem does the study address in Nigeria’s financial services sector?\",\"answer\":\"The study addresses the growing challenge of cyber-enabled fraud and electronic financial misconduct that outpaces conventional rule-based, retrospective auditing methods.\"},{\"question\":\"How does the study examine the role of AI-enabled Accounting Information Systems (AIS)?\",\"answer\":\"It evaluates the influence of AI-enabled AIS on auditing and fraud detection effectiveness using a quantitative cross-sectional survey and multiple regression approaches.\"},{\"question\":\"What is the moderating role of Natural Language Processing (NLP) found in the study?\",\"answer\":\"NLP positively moderates the relationship between AI-enabled AIS and auditing effectiveness by enhancing semantic interpretation and analytical 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