ABSTRACT

The increasing adoption of artificial intelligence (AI) is creating new opportunities for improving accounting practices, particularly in auditing, financial fraud detection, and financial reporting. This study examines the influence of agentic and generative artificial intelligence on accounting operations in Nigerian organisations, with particular attention to productivity, accuracy, efficiency, and ethical considerations. It explores how AI-powered technologies can automate routine accounting activities, strengthen audit procedures, identify financial irregularities, and improve the quality and timeliness of financial reports. The study also considers the major challenges affecting AI adoption in Nigeria, including inadequate technological infrastructure, regulatory uncertainties, limited professional expertise, algorithmic bias, transparency concerns, and data privacy risks. Furthermore, it investigates the extent to which AI-based systems can improve fraud detection compared with traditional manual approaches and evaluates the possible effects of automation on professional judgement and stakeholder confidence. The study aims to assess the practical benefits and limitations of AI applications within Nigeria's accounting environment and develop a framework for their responsible implementation. It is expected that the findings will demonstrate the potential of AI to enhance accounting productivity, improve financial oversight, and strengthen reporting processes while identifying the ethical and institutional safeguards required for effective adoption. The study will provide useful recommendations for accounting professionals, organisations, policymakers, and regulatory authorities seeking to integrate AI into Nigeria's financial sector in a transparent, secure, and responsible manner.

CHAPTER ONE

INTRODUCTION

1.1 Background and Rationale

The accounting profession in Nigeria is undergoing significant changes as it responds to emerging challenges, including financial fraud, weaknesses in auditing procedures, and delays in meeting regulatory requirements. These challenges have continued to place pressure on organisations to adopt more effective methods of managing financial information and ensuring accountability. Okoye and Okwudili (2024) estimate that financial fraud costs the Nigerian economy approximately ₦500 billion annually, highlighting the need for stronger financial monitoring and control mechanisms. As an important contributor to the country's economy, with the financial sector accounting for approximately 15% of national GDP (Central Bank of Nigeria, 2023), the sector requires innovative technologies capable of improving operational efficiency, accuracy, and public confidence.

One of the emerging technologies with considerable potential to transform accounting practice is artificial intelligence (AI). AI refers to computer-based systems designed to perform tasks that traditionally require human intelligence, including learning, reasoning, analysing information, and making decisions. Two important developments in this area are agentic AI, which can independently perform tasks and make decisions within defined instructions, and generative AI, which can produce new content, reports, summaries, and other outputs based on information provided to it. These technologies are increasingly relevant to accounting because they can support the automation of routine activities, the examination of large volumes of financial data, and the generation of useful analytical insights.

The application of AI in accounting offers several opportunities for improving auditing and financial management. AI-powered auditing tools can process extensive financial records, identify unusual transaction patterns, and assist auditors in assessing potential areas of risk. Similarly, automated fraud detection systems can analyse transactions continuously and identify suspicious activities that may be difficult to detect through conventional procedures. In financial reporting, AI can support data processing, document preparation, reconciliation, and the generation of financial summaries. Previous studies have reported that these technologies can reduce audit time, improve fraud detection, and make financial reporting processes more efficient (Alles, 2023; Hajek & Henriques, 2023; Cao et al., 2022).

Despite these potential benefits, the adoption of artificial intelligence within Nigeria's accounting environment is affected by several technological, institutional, and ethical limitations. One major challenge is inadequate technological infrastructure, including unreliable internet connectivity, limited access to advanced computing facilities, and weaknesses in organisational data management systems. These conditions may restrict the effective deployment and large-scale use of AI-powered accounting solutions (Adebayo & Ogunleye, 2023).

Regulatory uncertainty also presents an important obstacle to AI adoption. The absence of sufficiently developed AI-specific accounting guidelines may create difficulties for organisations seeking to determine how automated systems should be used, monitored, and evaluated within existing financial reporting frameworks. This situation raises questions about responsibility for AI-generated errors, the reliability of automated outputs, and the extent to which professional accounting standards should guide the use of these technologies (Okafor, 2022).

Ethical considerations are equally important. AI systems may produce biased results when trained with incomplete, inaccurate, or unrepresentative data. In addition, the limited transparency of some AI models can make it difficult for accounting professionals and other stakeholders to understand how particular decisions or recommendations were generated. Data privacy and information security are also major concerns because accounting systems often process confidential financial records and sensitive organisational information. These issues require appropriate safeguards to ensure that AI applications remain fair, transparent, secure, and accountable (Floridi & Cowls, 2021).

The adoption of AI in Nigerian accounting is further complicated by organisational and professional challenges. Some employees may resist automation because of concerns about job security, changes in established working procedures, or the possibility of losing professional control over accounting activities. Furthermore, the shortage of accounting professionals with adequate AI and data analytics skills may limit the effective integration of these technologies into existing organisational systems (Adebayo & Ogunleye, 2023). Successful implementation therefore requires more than acquiring technological tools; it also involves staff development, organisational readiness, and appropriate regulatory support.

Another important consideration is the limited contextual relevance of some existing research on AI in accounting. Much of the available literature focuses on developed economies where technological infrastructure, institutional capacity, and regulatory systems are more advanced. As a result, the findings of such studies may not fully reflect the practical conditions under which Nigerian organisations operate (Brown et al., 2024). This creates a need for research that considers the country's specific economic, technological, professional, and regulatory environment.

The increasing relevance of digital transformation to Nigeria's financial sector further strengthens the need to examine the role of AI in accounting. The responsible application of these technologies could support more effective financial supervision, improve organisational productivity, strengthen fraud prevention, and enhance the reliability of financial information. However, these benefits must be balanced against ethical responsibilities relating to transparency, professional judgement, data protection, and accountability.

It is against this background that the present study investigates the influence of agentic and generative artificial intelligence on auditing, financial fraud detection, and financial reporting in Nigerian organisations. The study seeks to identify the productivity and accuracy benefits of AI adoption, examine the ethical and institutional challenges associated with its application, and develop a framework that supports responsible and effective AI integration within Nigeria's accounting profession.

1.2 Research Problem

The growing application of artificial intelligence in accounting has created opportunities for improving auditing procedures, detecting financial irregularities, and strengthening financial reporting. However, the effective adoption of these technologies in Nigerian organisations remains constrained by technological, regulatory, professional, and ethical challenges.

One of the major problems is the inadequacy of technological infrastructure required to support AI-powered accounting systems. Limited access to reliable internet connectivity, insufficient computing facilities, and weaknesses in organisational data management can restrict the implementation and scalability of AI applications. These limitations may prevent organisations from fully benefiting from automated accounting processes and advanced financial analysis (Adebayo & Ogunleye, 2023).

Regulatory uncertainty also creates difficulties for organisations seeking to integrate AI into their accounting operations. The absence of clearly established AI-specific guidelines within the Nigerian accounting and regulatory environment may create uncertainty regarding the appropriate use of automated systems, the responsibility for errors, and the reliability of AI-generated financial information (Okafor, 2022). Without suitable regulatory guidance, organisations may struggle to establish consistent procedures for monitoring and controlling AI applications.

Ethical concerns constitute another major problem. AI systems may produce inaccurate or discriminatory outcomes when their underlying data or algorithms contain biases. The limited explainability of certain AI applications may also make it difficult for auditors and accounting professionals to understand the reasoning behind automated recommendations. Furthermore, the processing of confidential financial information raises concerns about data privacy, information security, and the unauthorised use of organisational records (Floridi & Cowls, 2021).

The successful adoption of AI is also affected by human and organisational factors. Resistance to automation among accounting personnel, concerns about changes in job responsibilities, and inadequate professional knowledge of AI technologies may slow the adoption process. In addition, the shortage of professionals with relevant skills in artificial intelligence, data analytics, and digital accounting systems may affect the effective supervision and application of these technologies (Adebayo & Ogunleye, 2023).

Another concern is the limited availability of research that adequately explains the impact of AI on accounting within Nigeria's institutional and economic environment. Much of the existing literature is based on developed economies with stronger technological infrastructure and more established regulatory systems. Consequently, there remains a need for context-specific evidence concerning the opportunities, limitations, and ethical implications of AI adoption in Nigerian organisations (Brown et al., 2024).

These challenges create uncertainty about the extent to which agentic and generative AI can improve auditing efficiency, strengthen fraud detection, and enhance the productivity and quality of financial reporting in Nigeria. There is also a need to determine how organisations can benefit from AI-driven automation without compromising professional judgement, transparency, data privacy, and accountability.

Therefore, this study seeks to investigate the influence of agentic and generative artificial intelligence on auditing, financial fraud detection, and financial reporting in Nigerian organisations. It will examine the potential productivity benefits of AI, identify the major barriers to its adoption, assess the associated ethical concerns, and propose a framework for its responsible