Intelligent Process Automation in Audit

2019 ◽  
Vol 16 (2) ◽  
pp. 69-88 ◽  
Author(s):  
Chanyuan (Abigail) Zhang

Intelligent process automation (IPA) achieves flexible and intelligent automation by combining robotic process automation (RPA), artificial intelligence (AI), and other emerging technologies. This paper focuses on the utility of IPA for the audit profession. Specifically, this paper provides a framework for implementing IPA in audit engagements using the concept of audit workflow. A simple prototype based on a simulated use case is constructed to illustrate the IPA implementation framework. The potential applications of IPA in pension and inventory audits are provided, and the expected impacts of IPA on audit efficiency and effectiveness are discussed.

Author(s):  
Andrea M. Prud’homme ◽  
John V. Gray ◽  
Andrew C. Barley

This chapter looks at emerging technologies and their use in supply management processes as a means to improve effectiveness through improved speed and accuracy, at a reduced cost. Many technologies are finding their way into supply management, with differing levels of penetration and application and with mixed results. It may be challenging for supply management professionals to understand how, when, and where these technologies are likely to yield positive results. This chapter reviews several technologies, including artificial intelligence/machine learning, big data/advanced analytics, blockchain, cloud computing, conversational things (e.g., chatbots), immersive technologies (e.g., virtual and augmented reality), and robotic process automation. Findings indicate that the primary advantages are achieved by improving current processes and workflows, rather than that these technologies are currently disrupting or will fundamentally change supply management. Another important finding is the importance of “clean data” inputs, something that artificial intelligence can help with and that is foundational for successful robotic process automation.


2020 ◽  
Vol 9 (1) ◽  
pp. 90-102
Author(s):  
Max Gotthardt ◽  
Dan Koivulaakso ◽  
Okyanus Paksoy ◽  
Cornelius Saramo ◽  
Minna Martikainen ◽  
...  

Technology development has grown rapidly in the last decades and gained importance for accounting and auditing through its identified potentials. Particularly the automation of judgment systems and systems that require human intervention, are deemed to be more relevant to confront a transformation through Robotic Process Automation (RPA). During the continuous development, the augmentation of such systems through Artificial Intelligence (AI) presents a greenfield project with high expectations. However theoretical frameworks have not yet been elaborative and sufficient to capture how such deployments can be conducted. Addressing this research gap, this study presents a summarized overview of the transforming RPA ecosystem and indicates what challenges are critical to being confronted for a successful implementation of such systems in accounting and auditing.


2022 ◽  
pp. 35-58
Author(s):  
Ozge Doguc

Many software automation techniques have been developed in the last decade to cut down cost, improve customer satisfaction, and reduce errors. Robotic process automation (RPA) has become increasingly popular recently. RPA offers software robots (bots) that can mimic human behavior. Attended robots work in tandem with humans and can operate while the human agent is active on the computer. On the other hand, unattended robots operate behind locked screens and are designed to execute automations that don't require any human intervention. RPA robots are equipped with artificial intelligence engines such as computer vision and machine learning, and both robot types can learn automations by recording human actions.


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