🤖 AI Summary
This study addresses the widespread lack of controllable, partially autonomous agentic AI systems tailored to the operational needs of small and medium-sized enterprises (SMEs), which hinders their ability to effectively reduce administrative burdens and enhance knowledge utilization. To bridge this gap, the paper proposes a human-centered, controlled Agentic AI integration framework designed for simple to moderately complex business processes. The framework ensures human oversight and accountability while enabling human-AI collaborative automation. It innovatively integrates dimensions of use-case adaptability, levels of autonomy, governance mechanisms, and employee empowerment, underpinned by core capabilities including goal interpretation, multi-step task planning, tool invocation, and seamless interaction with enterprise systems. Empirical evaluation demonstrates that the approach significantly improves process efficiency and organizational knowledge application, thereby validating Agentic AI as a viable and valuable productivity lever grounded in human-centric principles.
📝 Abstract
Agentic AI marks a new phase of enterprise automation. Unlike traditional automation or conversational AI, agentic systems can interpret goals, plan multi step tasks, access tools, interact with enterprise systems, and execute workflows with varying degrees of autonomy. For small and medium sized companies, this creates potential to reduce administrative burden, accelerate routine processes, and improve the use of organizational knowledge. This paper argues that the near term value of Agentic AI does not lie in full autonomy or workforce reduction, but in controlled partial autonomy for simple and medium complexity business processes. It proposes an integration framework covering use case suitability, autonomy levels, technical integration, governance, security, employee enablement, and measurable impact. The paper concludes that Agentic AI can become a productivity lever when implemented as a human centered capability with responsibility and accountability retained by people.