PACIS 2022 Proceedings

Paper Number

1477

Abstract

Intelligent Process Automation (IPA) is an emerging technology that combines Robotic Process Automation (RPA) with Artificial Intelligence (AI) and Machine Learning (ML) with minimal to no human intervention. The IPA adoption in an organisation poses a critical challenge as it battles to find processes that are suitable for it. The level of complexity and the level of intelligence required to automate a process are the two crucial factors that determine its suitability for IPA. By using existing literature, this exploratory research explains a conceptual framework consisting of eight process complexity factors to categorise process complexity. Furthermore, the six intelligence features derived from the literature allow classification of process automation types as “Basic, Intelligent, and Cognitive”. The findings will guide the automation developers to select the right IPA for the level of process complexity, thus providing an approach to select the right processes for IPA based on the process complexity framework

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