The research study examines how employees in private and public sector organisations utilize AI-powered tools in organisational decision-making, focusing on the perceived benefits and challenges of their use. It further examines how such tools can enhance decision quality. A qualitative research design was employed, involving interviews with purposively selected employees from organisations in Sweden. Thematic analysis of the data resulted in six key findings. Interpreted through a theoretical lens incorporating sensemaking theory, the results show that AI-powered tools are increasingly applied in operational and tactical decisions, particularly through secure, in-house generative AI systems. Private sector organisations demonstrate rapid integration, driven by efficiency and competitive advantage, whereas public sector counterparts adopt a more cautious approach, emphasizing compliance, data protection, and accountability. In both sectors, AI is primarily seen as a supportive aid rather than an autonomous decision-maker, with human oversight remaining critical. Benefits include increased speed, consistency, and enhanced collaboration, while challenges relate to transparency, potential over-reliance, and regulatory limitations. The study offers theoretical and practical contributions by highlighting conditions for responsible AI integration, stressing the importance of contextual adaptation, user competence, and alignment with organisational goals.