Compliance-Aware Self-Healing Worksoft ERP Automation

Abstract

This new business environment is presently in the process of radical change, which has been triggered by the need to modernize the primary digital infrastructures. It is believed that a large proportion of the worldwide business organizations are already moving to more modern Enterprise Resource Planning (ERP) systems, namely, SAP S/4HANA, and that the deadline is usually set at 2027. This shift is not only described as a technical upgrade but a complete rethinking of the way business is conducted. In this regard, the manual software testing and script-based automation software methodologies have become unsuitable in terms of achieving scalability, as well as their vulnerability to dynamic environments. This term paper gives a comprehensive discussion of the study topic compliance-aware self-healing automation, with a particular reference to the Worksoft Certify platform. The model-based testing architecture is considered in comparison with the script-based paradigms, and the application of the Artificial Intelligence (AI) to propose self-healing object recognition is reviewed. Moreover, aspect of the strict requirements of the regulatory systems like the FDA 21 CFR Part 11 are discussed in an attempt to establish how automated audit trails and system validation (IQ/OQ/PQ) is preserved in the era of autonomous algorithm adaptation. A market analysis is made in comparison with the ability of Worksoft and the other two competitors, Tricentis Tosca and UiPath, which is backed by substantial quantitative data on the Return on Investment (ROI), the rate of defect detection, and operational efficiency indicators that are anticipated to be performed by the year 2025.