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Original Research | Computer Science and Information Technology | Volume 15 Issue 8, August 2026 | Pages: 1765 - 1771 | United States
AI-Driven Automation Architecture
Abstract: Organizations worldwide have made significant investments in Robotic Process Automation (RPA) to automate repetitive, rules-based manual processes. These investments have delivered tangible benefits, including lower operating costs, faster processing, and improved accuracy. However, they have also highlighted a fundamental limitation: traditional RPA lacks the ability to reason, adapt to unstructured information, or intelligently manage exceptions. Meanwhile, AI Agents- autonomous, goal-oriented systems powered by large language models (LLMs)- have rapidly evolved. These systems can understand context, interpret unstructured information, plan and execute multi-step workflows, and make judgement-based decisions on a scale. This white paper proposes that the future of enterprise automation lies not in choosing between RPA and AI Agents, but in strategically combining their strengths. AI Agents serve as the intelligence layer, capable of understanding intent, interpreting complex information, managing exceptions, and deriving meaning from unstructured data. RPA serves as the execution layer, providing reliable interaction with legacy applications, supporting compliance requirements, and executing deterministic tasks with speed, consistency, and precision. By architecting these capabilities together, organizations can achieve levels of automation that were previously unattainable, reduce the total cost of ownership of automation initiatives, and establish an intelligent automation foundation that increases in value as AI technologies continue to advance. Key Finding: Gartner predicts that by 2027, 50% of enterprises will use AI-augmented automation platforms, compared with less than 10% in 2023. Organizations that begin this transition now can position themselves to gain a meaningful and sustainable competitive advantage.
Keywords: Artificial Intelligence, AI Agents, Robotic Process Automation, Intelligent Automation, Enterprise Automation, Agentic AI, Automation Architecture
How to Cite?: Amritapa Pattanayak, "AI-Driven Automation Architecture", Volume 15 Issue 8, August 2026, International Journal of Science and Research (IJSR), Pages: 1765-1771, https://www.ijsr.net/getabstract.php?paperid=SR26821073749, DOI: https://dx.doi.org/10.21275/SR26821073749