In an era of industry 4.0, it is important to explore the dynamic synergy between Artificial Intelligence (AI) and DevOps, unveiling the transformative potential of AI applications at every stage of the DevOps lifecycle. By harnessing the cognitive capabilities of AI, organizations can revolutionize their DevOps practices, achieving unprecedented levels of automation, precision, and efficiency in software development and deployment. Authors elucidate the fundamental concepts of DevOps and AI, establishing a foundational understanding of their interplay. Subsequently, it explores the advantages of integrating AI into the key stages of DevOps, namely discover, plan, build, test, operate, observe, and feedback. This paper critically examines available AI-enabled tools in a staged manner, aiming for a thorough comprehension of their capabilities within DevOps frameworks. Through comparative analysis, authors assess these tools’ features, functionalities, and AI integration suitability. The objective is to furnish DevOps practitioners with a concise guide, aiding them in making well-informed choices on tool adoption and implementation, leveraging a structured evaluation framework proposed herein.