AI-Powered Workflow Automation in Small Businesses

Artificial Intelligence (AI)-driven workflow automation is transforming the operational landscape for small and medium-sized enterprises (SMEs), offering notable improvements in productivity, cost efficiency, and competitive edge. Yet, the adoption rate among SMEs remains inconsistent and relatively low, largely due to a range of internal limitations and external pressures. This research explores the level of AI adoption, the factors that influence it, the barriers faced, and its overall impact on SME performance. It draws on data from the 2023 Flash Eurobarometer 537 survey, which includes responses from more than 14,800 SMEs across 36 countries. Grounded in the Technology-Organization-Environment (TOE) framework and the Resource-Based View (RBV), the study employs a mixed-methods design, combining descriptive analysis, logistic regression, and qualitative content analysis to deliver a comprehensive assessment. Findings reveal that AI adoption is significantly shaped by firm size, sector, turnover growth, and participation in innovation clusters, while barriers such as skill shortages, hiring difficulties, and digital infrastructure gaps remain prominent. This study contributes a contextual framework for responsible AI integration tailored to SME realities, offering practical recommendations for technology providers, SME leaders, and policymakers.

Keywords: Artificial Intelligence (AI), Adoption, SMES, Workflow Automation