Authors : Umamaheswara Rao Kukkala

Volume/Issue : Volume 11 - 2026, Issue 7 - July

Google Scholar : https://tinyurl.com/2s4bfwaa

Scribd : https://tinyurl.com/26waaesb

DOI : https://doi.org/10.38124/ijisrt/26jul1110

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : The rapid advancement of artificial intelligence is driving a fundamental transformation in enterprise computing, shifting from traditional software-as-a-service (SaaS) models to agent-as-a-service (AaaS) paradigms powered by autonomous, goal-driven systems. Although large language models (LLMs) have significantly enhanced reasoning and content generation capabilities, their effective adoption in enterprise environments requires scalable orchestration, cost efficiency, and seamless integration with complex workflows. This paper introduces UMA, a Unified Multi-Agent Framework for enterprise AI systems, designed to support the complete lifecycle of agentic systems, including deployment, orchestration, execution, monitoring, and return-on-investment (ROI) realization. The proposed framework integrates multi-agent coordination, tool orchestration, memory management, and adaptive decision-making within a layered architecture that enables scalable and efficient enterprise operation. Through an analysis of enterprise use cases and real-world system implementations, it is demonstrated that agentbased systems can autonomously execute complex tasks, reduce human workload, and improve operational efficiency across business functions. Furthermore, a performance and economic model is presented to quantify the trade-offs between cost, scalability, and autonomy in enterprise AI deployments. The findings highlight the transformative potential of UMA in enabling scalable, efficient, and intelligent enterprise systems, positioning agent-as-a-service as a foundational paradigm for the next generation of enterprise computing.

Keywords : Agent-as-a-Service, Agentic AI, AI Orchestration, Autonomous Systems, Generative AI, Intelligent Agents, Large Language Models, Multi-Agent Systems, Software as a Service.

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