Domain Agnostic Agentic AI: Enabling Autonomous Automation with SmartGenie CoPilot

Generative AI and Agentic AI systems are revolutionizing the way organizations approach automation by enabling machines to autonomously perform complex tasks that traditionally required human intervention. These systems leverage large language models (LLMs) to process vast amounts of information, interpret complex workflows, and make decisions in real-time. Agentic AI frameworks, in particular, offer a new level of intelligence, allowing for dynamic, context-aware task execution across various industries. By integrating such advanced AI capabilities, businesses can automate decision-making processes and achieve unprecedented levels of efficiency and accuracy in handling routine and sophisticated tasks alike. This paper introduces SmartGenie, an Agentic AI CoPilot developed as part of the SmartOps intelligent automation platform. SmartGenie utilizes an LLM-based framework that is adaptable and easily integrated with autonomous automation scenarios. We present a use case where SmartGenie automates the handling of employee service requests for a financial client, autonomously responding to and resolving issues. This implementation resulted in significant improvements in request completion times, enhanced accuracy, and overall operational efficiency. These findings demonstrate the transformative potential of SmartGenie to drive quality and performance improvements in business-critical processes through the use of Agentic LLMs.

Authors

Publication Details

Published
2025-02-07
DOI
https://doi.org/10.1109/etis64005.2025.10961403
Citations
2
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
Field-Weighted Citation Impact
4.96
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article

Domain Agnostic Agentic AI: Enabling Autonomous Automation with SmartGenie CoPilot

Renjith Paulose, M. C. George, Vinod Neelanath
2 citations
Multi-Agent Systems and Negotiation
4.96
article

Domain Agnostic Agentic AI: Enabling Autonomous Automation with SmartGenie CoPilot

Renjith Paulose, M. C. George, Vinod Neelanath
article en
2 citations

Abstract

Generative AI and Agentic AI systems are revolutionizing the way organizations approach automation by enabling machines to autonomously perform complex tasks that traditionally required human intervention. These systems leverage large language models (LLMs) to process vast amounts of information, interpret complex workflows, and make decisions in real-time. Agentic AI frameworks, in particular, offer a new level of intelligence, allowing for dynamic, context-aware task execution across various industries. By integrating such advanced AI capabilities, businesses can automate decision-making processes and achieve unprecedented levels of efficiency and accuracy in handling routine and sophisticated tasks alike. This paper introduces SmartGenie, an Agentic AI CoPilot developed as part of the SmartOps intelligent automation platform. SmartGenie utilizes an LLM-based framework that is adaptable and easily integrated with autonomous automation scenarios. We present a use case where SmartGenie automates the handling of employee service requests for a financial client, autonomously responding to and resolving issues. This implementation resulted in significant improvements in request completion times, enhanced accuracy, and overall operational efficiency. These findings demonstrate the transformative potential of SmartGenie to drive quality and performance improvements in business-critical processes through the use of Agentic LLMs.

Openalex Percentile: Top 6%
Multi-Agent Systems and Negotiation
4.96
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