RPA for Account Reconciliations: Case Study of 85% Time Reduction.

This review paper analyses the implementation of Robotic Process Automation (RPA) in financial account reconciliations, integrating existing literature with a practical case study of a multinational life sciences firm that realized an 85% decrease in reconciliation duration. Although RPA has gained traction in enhancing repetitious financial processes, current research frequently lacks empirical specificity, sector-related constraints, and evaluations of post-implementation effects. This report identifies deficiencies in exception handling, scalability, and ERP system integration by comparing five academic and industrial sources with practical insights from the case study. A thorough RPA Reconciliation Framework is proposed, including process discovery, bot logic, error feedback, AI integration, compliance, and change management. The results underscore RPA's capacity to enhance speed, precision, and auditability, while indicating that future research should concentrate on hybrid RPA-AI systems and uniform maturity models.

Authors

Publication Details

Journal
The American Journal of Interdisciplinary Innovations and Research
Published
2025-07-13
DOI
https://doi.org/10.37547/tajiir/volume07issue07-09
Primary Topic
Cloud Data Security Solutions
Type
article
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article

RPA for Account Reconciliations: Case Study of 85% Time Reduction.

Amit Kale
The American Journal of Interdisciplinary Innovations and Research
Cloud Data Security Solutions
article

RPA for Account Reconciliations: Case Study of 85% Time Reduction.

Amit Kale
article en

Abstract

This review paper analyses the implementation of Robotic Process Automation (RPA) in financial account reconciliations, integrating existing literature with a practical case study of a multinational life sciences firm that realized an 85% decrease in reconciliation duration. Although RPA has gained traction in enhancing repetitious financial processes, current research frequently lacks empirical specificity, sector-related constraints, and evaluations of post-implementation effects. This report identifies deficiencies in exception handling, scalability, and ERP system integration by comparing five academic and industrial sources with practical insights from the case study. A thorough RPA Reconciliation Framework is proposed, including process discovery, bot logic, error feedback, AI integration, compliance, and change management. The results underscore RPA's capacity to enhance speed, precision, and auditability, while indicating that future research should concentrate on hybrid RPA-AI systems and uniform maturity models.

The American Journal of Interdisciplinary Innovations and ResearchVol. 7(07)
Openalex Percentile: Top 75%
Cloud Data Security Solutions
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