Book Details

AI-DRIVEN WORKFORCE RESKILLING IN ACCOUNTING: ENHANCING FINANCIAL EFFICIENCY AND STRATEGIC BUSINESS OUTCOMES

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

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Abstract

The increasing adoption of Artificial Intelligence (AI) is significantly reshaping the field of accounting by introducing smarter and more efficient ways of managing financial operations. Despite these advancements, many organizations still struggle with issues such as manual inefficiencies, frequent errors, and gaps in employee skills, which affect overall productivity and compliance. This study proposes an AI-driven framework that not only automates accounting processes but also evaluates employee performance to identify skill gaps and recommend targeted reskilling solutions. The proposed approach focuses on analyzing work patterns, detecting inefficiencies, and providing personalized learning pathways to enhance employee capabilities. By integrating AI with accounting practices, the system improves critical functions such as financial reporting, reconciliation, and regulatory compliance. At the same time, it contributes to broader organizational goals by increasing workforce efficiency, reducing operational costs, and enabling more informed decision-making. This research highlights the dual role of AI as both a technological and strategic enabler, transforming accountants from routine task performers into contributors to business insights and growth. The findings suggest that adopting AI-driven reskilling frameworks can lead to more accurate financial processes and support long-term organizational development.

References

  1. Davenport, T. H., & Ronanki, R. (2018). Artificial Intelligence for the real world. Harvard Business Review.
  2. Brynjolfsson, E., & McAfee, A. (2017). Machine, Platform, Crowd.
  3. KPMG. (2020). AI in Financial Reporting.
  4. PwC. (2019). Workforce of the Future. ICAI. (2021). AI in Accounting Practices

Keywords

Artificial Intelligence (AI), AI-driven framework, Accounting automation, financial operations, Employee performance evaluation.

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  • Format Volume 14, Issue 2, No 02, 2026
  • Copyright All Rights Reserved ©2026
  • Year of Publication 2026
  • Author Mr.Atul Chaudhary, Dr.Mukta Makhija, Ms.Shivani Sharma, Ms.Anshu Yadav
  • Reference IJCS-732
  • Page No 037-051

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