Eamon Leonard

Establishing Small and Medium-sized Enterprises (SMEs) presents considerable challenges, particularly for entrepreneurs who must navigate limited resources and significant knowledge gaps across a spectrum of information requirements—from health and safety to corporate governance, taxation, and personnel management.   Despite the extensive deployment of Generative Artificial Intelligence (GAI) in sectors like medicine, education, and finance, its application and research within SME risk management remains notably sparse. With technological advancements and the widespread availability and integration of GAI in office and home settings, an opportunity arises to develop customised risk management tools specifically tailored for SMEs. This research aims to bridge this gap by illustrating the benefits of GAI within the risk management cycle, which is critical to enhancing the prospects of success among smaller business entities, underscoring how GAI can improve decision-making and risk evaluation and promote further discussion and research on developing user-friendly GAI technologies.