Article on the topic of Designing An Artificial Intelligence Adoption Assistance Platform for Small and Medium-sized Enterprises released.

The open access article has emerged from a capstone project co-supervised by Lukas Fitz at the University of North Carolina Wilmington.

The paper describes the design and development of a web-based platform to help SMEs adopt AI without requiring technical expertise. Its two main tools are a customizable chatbot creator and an AI-driven sales forecasting feature. Built with Python/Django and hosted on AWS, the platform prioritizes data privacy, low cost, and ease of use. User testing with SME owners and students revealed areas for improvement in navigation, user interface, and onboarding. This article is derived from the thesis/capstone project of Brian Alvarez, who was jointly supervised by Lukas Fitz, Judith Gebauer, and Yao Shi at the University of North Carolina Wilmington. The work received a Top 15% Award at the 2025 ISCAP Conference in Louisville, Kentucky (USA), and was subsequently published in the Journal of Information Systems Applied Research and Analytics. https://doi.org/10.62273/ZQPS7795

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