Artificial Intelligence (AI) is redefining the decision-making process due to data-driven and fact-based analysis. The current study aimed to investigate AI impact of AI on administrative decision-making quality within the Abu Dhabi Civil Defence Authority. The current research is based on quantitative research methods, and data were collected through a census-based survey from a sample size of 234 employees. The data was analysed through Structural Equation Modelling (SEM) in IBM, SPSS, and AMOS. The results identified an excellent fit model (CFI = 0.97, RMSEA = 0.028) and confirmed the validity of the construct. The study findings assessed that AI applications increase the Decision Quality, including Real Time Data Process (RTDP) (? = 0.36, p= 0.003), Predictive Analytics (? = 0.307, p=0.011), and Automation (? = 0.328, p=0.004). RTDP was found to be the strongest driver, and decision quality was reliably demonstrated as a second-order factor, indicating dimensions of accuracy, timeliness, and stakeholder, where all first-order constructs indicate strong composite reliability (CR > 0.78). Most of the young 26-35-year-olds (38.5%) and highly educated (40.2%) workforce were showing an open receptivity to technology-based innovation. However, the moderating role of ethical implementation challenges was insignificant (p=0.375), and poor reliability was assessed in the related components (CR = 0.091), identifying a disconnect among theoretical aspects and operational perceptions. The model described a considerable portion of variance in administrative decision quality that highlights the transformative role of AI. Real-time systems are the main AI technologies that are strong enablers of superior administrative decisions in a high-pressure public sector. This can be managed through real-time AI infrastructure, investment in consistent digital training programs, and management of proactive ethical governance frameworks for longer resilience and strategic outcomes. The results are clarifying the roadmap for the ADCDA and similar organisations to connect for operational excellence and public safety.
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