Translation. Region: Russian Federation –
Source: Government of the Russian Federation – Government of the Russian Federation –
An important disclaimer is at the bottom of this article.
Fifty-five Russian regions have shared their experiences implementing artificial intelligence technology. These practices have been published on the "Digital Region" portal, which collects the most successful regional AI solutions that have proven their effectiveness. To date, the portal has collected approximately 350 AI solutions (more than 430 scenarios). Deputy Prime Minister and Chief of the Government Staff Dmitry Grigorenko is overseeing the implementation of AI technology in Russia.
The pace of AI implementation in Russia's regions is rapidly growing. For comparison, in October 2025, the portal contained 150 published AI application cases from 26 regions. Today, the leaders in terms of the number of published AI solutions are the Moscow Region (24 solutions), Sakhalin Region (22 solutions), Chelyabinsk Region (20 solutions), Yamalo-Nenets Autonomous Okrug (19 solutions), and Novosibirsk Region (17 solutions). The most popular areas of AI application in these regions are healthcare, public administration, and security.
"Large-scale implementation of AI in Russia requires the active involvement of regions in this process. Today, most of them are already using the technology. Given its high efficiency, the Government is encouraging regions and agencies to implement AI in key areas. We not only set requirements but also help regions share best practices. This is precisely the purpose of the Digital Region portal and the Government's AI Development Center, which selects and replicates best practices. Most importantly, we see that regions are not implementing AI for show, but are truly noticing the results: increased citizen satisfaction, increased security, and reduced processing time for citizen requests," commented Dmitry Grigorenko.
A number of solutions that were implemented in the last quarter of 2025 have already proven their effectiveness.
For example, the Chelyabinsk Region has begun implementing artificial intelligence in transportation to analyze traffic volume (the solution was launched on December 1, 2025). Computer vision-based video surveillance monitors road congestion and flow speed 24/7, detecting emergency situations, including traffic jams and accidents. Thanks to the implementation of AI, the average time drivers spend in traffic jams has been reduced by 2.5 times, from 13 minutes to 5 minutes. Furthermore, the average monthly number of accidents at traffic monitoring stations has decreased by almost 24% (from 161 to 122).
The Yamalo-Nenets Autonomous Okrug is also among the regions actively implementing AI technology. AI is used in the region to maintain public order at bus stops and cultural heritage sites. AI is integrated into a video surveillance system equipped with a loudspeaker: if suspicious behavior is detected, the loudspeaker is activated and alerts citizens that violations have been recorded. The system successfully recognizes signs of vandalism (attempts to break glass or damage equipment), aggressive behavior (fights, threats), and prolonged immobility (possible loss of consciousness). Thanks to the implementation of AI, the incidence of incidents related to smoking and drinking at heated bus stops has decreased by 35%. A 40% decrease in nighttime visits has been recorded at cultural heritage sites, facilitating the maintenance of order at memorial sites at night. The number of complaints from the region's residents has decreased by 50%. Thus, the technology has improved safety and citizen satisfaction.
The Belgorod Region has proposed another new AI application. In September, the technology was implemented in the region to improve water supply quality. Artificial intelligence in the Belgorod Region helps predict planned and emergency outages in advance using a digital twin of the water supply system (with over 90% accuracy), as well as regularly assess the condition of water supply facilities and optimize energy consumption. If an emergency occurs, the AI helps quickly identify the nearest shut-off device, calculate the volume of remaining water, and generate a list of addresses of those homes whose water supply will be temporarily cut off. Thus, the technology enables a significantly faster response to incidents and troubleshooting. As a result, in the first few months of using the technology alone, the number of cases where repairs took more than eight hours decreased by almost a quarter (23%). Furthermore, the system has optimized water supply costs for institutions and saved over 9 million rubles in the regional budget.
Please note: This information is raw content obtained directly from the source. It represents an accurate account of the source's assertions and does not necessarily reflect the position of MIL-OSI or its clients.