Abstract: This paper explores the integration of Workday AI into the financial accounting close process, highlighting its potential to revolutionize financial management within organizations. By employing machine learning, natural language processing, and predictive analytics, Workday AI automates manual tasks, enhances the accuracy of financial data, and delivers real-time insights. The research emphasizes the importance of transitioning to a zero-day close process, which allows for the immediate closing of financial books at the end of a reporting period, providing organizations with timely financial details essential for rapid decision-making in today's fast-paced business environment. This study assesses the benefits, including improved financial visibility, cost savings, compliance, and accuracy, alongside potential challenges such as data security and integration complexity. Future trends in AI and finance, including the use of blockchain and advanced data analytics, are discussed, underscoring the transformative impact of Workday AI on financial operations, making them more agile, efficient, and strategically focused.
Keywords: Workday AI, Financial Accounting Close Process, Zero-Day Close, Machine Learning, Natural Language Processing, Predictive Analytics, Real-time Financial Reporting, Automation in Finance, Strategic Decision Making, Financial Management Innovation
Cite:
Jayesh Jhurani, "Achieving Zero Day Close with Workday Artificial Intelligence (AI): Efficiency and Strategic Decision Making", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 11, 2023, Crossref https://doi.org/10.17148/IJARCCE.2024.121127.
|
DOI:
10.17148/IJARCCE.2023.121127
