Next-Generation SAAS Transformation: Blending AI-Driven Analytics with Agile IT Operations and Agentic AI

Authors

DOI:

https://doi.org/10.5281/zenodo.17586638

Keywords:

SaaS transformation, AI-driven analytics, agentic AI, agile IT operations, cloud automation, digital modernization, autonomous systems, DevOps, enterprise AI adoption, predictive intelligence

Abstract

In this work, the researcher explored how AI-based analytics, Agile IT operations, and agentic AI features can transform the next-generation SaaS environments. In its study, the research adopted both qualitative and quantitative methods comprising of a survey of 120 technology professionals using a set questionnaire, and interviewing 15 industry experts, to understand the adoption trends, operational performance, and strategic consequences. The results showed that integrated organizations employing AI and Agile methods had substantial improvement in the velocity of deployment, level of automation, efficiency of incident resolution and customer satisfaction. As a result of autonomous decision-making, proactive incident management, and optimisation of intelligent systems, agentic AI became an important contributor to overall resilience in the process of operation. Nevertheless, the research also identified issues associated with the talent preparedness, data-governance, and AI-supervisory demands. In general, the study has found that the intersection of AI-powered analytics with Agile frameworks allowed SaaS companies to transform into autonomous, scalable, and innovation-related digital ecosystems and place them in a position of continued competitive development in fast-growing cloud ecosystems.

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Published

2025-09-29
CITATION
DOI: 10.5281/zenodo.17586638
Published: 2025-09-29

How to Cite

Vedagiri, V. S. S. K. (2025). Next-Generation SAAS Transformation: Blending AI-Driven Analytics with Agile IT Operations and Agentic AI. Applied Science and Engineering Journal for Advanced Research, 4(5), 19–24. https://doi.org/10.5281/zenodo.17586638