The research develops a mechanism for automating smart business through decision-making and production management based on big data and AI. Relying on the latest statistical data from Bloom Consulting and WIPO for 2023, the authors developed an econometric model for automating smart business in Central Asia. The developed model holds theoretical significance because it unveils the relatively unexplored experience of automating smart business in Central Asia and clarifies the impact of management factors on the outcomes of this automation in the region. Based on this model, the authors forecasted the automation of smart business in Kyrgyzstan, Russia, and Uzbekistan. The practical benefit of this forecast lies in its ability to facilitate more precise planning of smart business automation in these Central Asian countries. To support the practical implementation of the forecast, the authors developed a mechanism for automating smart business through decision-making and production management based on big data and AI. The new features of the mechanism include unified AI management of smart production as a special object of automation in smart business operations, storing production information in a separate big data cell to accelerate its processing, and recognizing production as the central and priority object of smart business management, with its automation progressing at its own pace. This mechanism will enhance production management efficiency and more fully realize the potential of smart production automation, underscoring its managerial significance.