International Journal on Science and Technology

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AI-Driven Automation for Period Closing in Cloud ERP Systems

Author(s) Ravinder Ramidi
Country United States
Abstract Period closing in Cloud ERP systems remains one of modern enterprises' most critical yet resource-intensive financial processes, creating bottlenecks that delay valuable insights and strategic decision-making. Despite advances in ERP platforms like Oracle Cloud and SAP S/4HANA, this process has resisted comprehensive automation until now. Artificial Intelligence technologies—specifically machine learning, intelligent process automation, and natural language processing—transform financial close workflows by automating exception handling, reconciliations, compliance verification, and financial reporting. This article examines how AI-driven automation revolutionizes period closing processes, presenting a structured implementation roadmap that balances technical capabilities with organizational readiness. It also provides a framework for measuring success through efficiency, quality, and strategic impact metrics while exploring how these technologies will evolve to enable continuous accounting capabilities and elevate finance from a scorekeeper to a strategic advisor.
Keywords Artificial Intelligence, Financial Close Automation, Cloud ERP Systems, Continuous Accounting, Finance Transformation
Field Computer Applications
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-29
Cite This AI-Driven Automation for Period Closing in Cloud ERP Systems - Ravinder Ramidi - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.3008
DOI https://doi.org/10.71097/IJSAT.v16.i1.3008
Short DOI https://doi.org/g899gr
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