The Role of Artificial Intelligence in Automating SaaS Operations: A Systematic Review of Current Techniques

Abstract

Software as a Service (SaaS) is a fast-paced technology that has revolutionized how applications are accessed, deployed and scaled in an organization and Artificial Intelligence (AI) has been among the technological tools necessary to enable automation in the field. This met-analysis also focuses on the ways in which machine learning, natural language processing and intelligent process automation AI techniques could be integrated into the work of SaaS in order to enhance their performance, security and scaling. The presented paper recapitulates the modern development in regard with automating software-as-a-service (SaaS) operations with referring to frameworks, tools, and means of ensuring that compliance, monitoring, and delivery are made simpler. The report identifies key automation solutions, like process management, AI-driven monitoring, and policy-based governance using peer-reviewed literature. The incorporation of explainable AI to help in decision-making, predictive analytics to act proactively to solve problems, and security automation to maintain compliance are all emerging issues that the research explores. The paper concludes with a set of suggestions about what research should be done next, particularly focusing on intelligent automation models that are flexible, sustainable, and building blocks that can evolve alongside organizations. In summary, have determined that automation is essential to the SaaS long-term sustainability of SaaS operations, but not only a technical enhancement.