The Role of AI-Driven Automation in Enhancing Administrative Efficiency for U.S. Small Businesses: A Conceptual Design of the AdminAI Pro System

Siqi You

European Journal of Business, Economics & Management, 2026, vol. 2, issue 1, 1-8

Abstract: U.S. small businesses face mounting administrative burdens due to intensifying regulatory requirements, fragmented documentation flows, and increasingly complex communication channels. Existing automation solutions are often either overly simple or built for enterprise-scale organizations, leaving small businesses with limited feasible options. This paper presents an expanded conceptual design for AdminAI Pro, a unified AI-driven automation system tailored to the structural, economic, and organizational realities of U.S. small enterprises. Rather than offering empirical findings, this paper develops a comprehensive theoretical model describing the system's architecture, workflow logic, intelligent components, and anticipated organizational impacts. The goal is to offer a deep, integrative conceptual framework that may guide future prototype development and empirical evaluation.

Keywords: administrative automation; artificial intelligence; small business productivity; workflow optimization; digital transformation; AdminAI Pro (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
https://pinnaclepubs.com/index.php/EJBEM/article/view/442/441 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dba:ejbema:v:2:y:2026:i:1:p:1-8

Access Statistics for this article

More articles in European Journal of Business, Economics & Management from Pinnacle Academic Press
Bibliographic data for series maintained by Joseph Clark ().