Evolution of SaaS: Embedding AI Agents and the Transition to Autonomous AI-Driven Platforms
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Abstract
The integration of Artificial Intelligence (AI) into traditional Software as a Service (SaaS) platforms is transforming the way businesses operate by enhancing automation, decision-making, and user experiences. This research explores the progressive shift from embedding AI agents into existing SaaS frameworks to the eventual replacement of conventional SaaS models with fully autonomous AI-driven platforms. We examine the technological advancements driving this transition, including machine learning, natural language processing, and autonomous decision systems. Furthermore, we discuss the implications of this shift on scalability, security, cost efficiency, and user adaptability. The study also evaluates potential challenges, such as ethical concerns, data privacy, and the need for human oversight. By providing a comparative analysis of AI-augmented SaaS versus AI-native platforms, this paper offers insights into the future landscape of enterprise software solutions.
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References
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