Abstract
The relevance of this study stems from the need to improve the economic efficiency of law enforcement agencies in the context of the digital transformation of public administration.The transition to electronic pre-trial proceedings and the growing volume of verbal information processed make it necessary to implement artificial intelligence tools that can reduce the labor intensity of procedural procedures, optimize the use of human and budgetary resources, and increase the productivity of investigative units.The aim of the study is to assess the economic efficiency of implementing artificial intelligence tools in verbal procedural procedures based on an analysis of the dynamics and regional structure of pre-trial investigations in the Republic of Kazakhstan.The study utilized statistical and economic-mathematical analysis methods, including the calculation of absolute and relative dynamics indicators (Δ, %Δ, CAGR), structural shares of regions, and a model for assessing the savings in investigator work time.Based on data for 2019-2025, a steady decline in the overall number of pre-trial investigations was established, with the electronic format dominating from 2022.A regional analysis revealed a concentration of procedural workload in cities of national significance and industrially developed regions, where the implementation of AI provides the greatest economic benefit.Calculations show that the automation of verbal procedural procedures frees up a significant amount of investigator time, equivalent to a significant reduction in the need for additional human resources.The obtained results confirm that the implementation of artificial intelligence tools in verbal procedural procedures is economically feasible and contributes to the optimization of public spending, increased productivity, and the rationalization of procedural workload.The need for a