Leveraging artificial intelligence in decision making

the adoption of artificial intelligence (Ai) in organizations is a key driver for digital transformation, impacting efficiency, strategic decision-making, and innovation. this study examines how technological, organizational, and environmental factors influence Ai adoption, utilizing the toE (technologyorganization- Environment) model to explain this dynamic. technologically, Ai requires efficient data management and robust it infrastructure, with data quality being essential for accurate outcomes. organizations must invest in data governance, security, and infrastructure to ensure effective data handling. on the organizational level, readiness, talent skills, and corporate culture are critical factors. leadership support and a continuous learning environment are essential for digital transformation. Furthermore, Ai adoption requires a synergy between automated processes and human oversight to mitigate the risks of overreliance on technology. Finally, competitive environment and government regulations affect Ai adoption. Competitive pressures drive companies to innovate to maintain an edge, while regulations, like the EU Ai Act, aim to ensure the ethical use of Ai. the case of Enel Spa, a multinational in the energy sector, illustrates how effective governance and structured Ai integration can contribute to organizational success, highlighting the importance of human-Ai collaboration for sustainable growth