Year: 2025
Type: article
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.
Author: Anjali Kale
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4412371825