Enhancing process automation with AI: The role of intelligent automation in business efficiency

Abhaykumar Dalsaniya 1, * and Kishan Patel 2

1 Architect, Intelligent Automation.
2 Sr QA Engineer, USA.
 
Research Article
International Journal of Science and Research Archive, 2022, 05(02), 322–337.
Article DOI: 10.30574/ijsra.2022.5.2.0083
Publication history: 
Received on 03 March 2022; revised on 13 April 2022; accepted on 15 April 2022
 
Abstract: 
This article discusses the combination of Artificial Intelligence (AI) with Robotic Process Automation (RPA) , that is, Intelligent Automation (IA), a significant improvement in process automation. Traditional RPA, developed to operate in simple routine tasks, only meets great challenges in accurately performing tasks in complex business settings. Thus, leveraging concepts like ML, NLP, and cognitive automation, IA allows organizations to automate flexible, smart, selective, and able-to-learn processes. To do this, this paper explores how AI optimizes RPA, making the process more flexible, and decides the impact that IA will have on business efficiency. In this section, we explain how IA can modify operational outputs, minimize expenditures, increase efficiency, and improve decision-making in different fields based on case studies, research findings, and real examples. Furthermore, the research looks into the possibility of IA in handling novelty, high-automation activities, and the impact on the adaptable competitiveness of an organization.
 
Keywords: 
RPA; Intelligent Automation; Cognitive automation; AI; IA; Machine Learning; Natural Language
 
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