AI-Driven Automation for Period Closing in Cloud ERP Systems

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.

Authors

Publication Details

Journal
International Journal on Science and Technology
Published
2025-03-29
DOI
https://doi.org/10.71097/ijsat.v16.i1.3008
Citations
1
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
3.25
Controls
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article

AI-Driven Automation for Period Closing in Cloud ERP Systems

Ravinder Ramidi -
1 citations
International Journal on Science and Technology
Cloud Computing and Resource Management
3.25
article

AI-Driven Automation for Period Closing in Cloud ERP Systems

Ravinder Ramidi -
article en
1 citations

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.

International Journal on Science and TechnologyVol. 16(1)
Openalex Percentile: Top 10%
Cloud Computing and Resource Management
3.25
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