Samara Region Plans Its Own Neural Network to Assist Public Officials
In the near future, residents of the region could be able to track how government agencies are handling their requests. Meanwhile, agency staff would focus solely on solving residents’ problems, leaving office routine to AI.
Samara Region Governor Vyacheslav Fedorishchev has proposed creating a regional neural network to handle citizen requests. Samara-based developers are expected to participate in building the system. The new service is planned to allow residents to submit requests, track their status and see responses to other questions related to a particular area. No development or launch timeline has been set yet, but Sberbank has already assigned a large team of experts to work with the regional government on implementing the initiative. In addition, the governor appointed an aide for the introduction of AI technologies across government agencies – Kirill Galanov, a specialist from the bank’s central office.
Moving from conventional digitalization to neural networks could make interactions with government agencies simpler and faster. AI technologies are taking on more routine tasks, while professionals can focus their efforts directly on solving problems. The neural network could organize data on residents’ concerns: which issues arise most often, where they occur and how quickly they are resolved. If AI is used to classify and route requests, it could also speed up their delivery to the responsible agencies. In addition, systemic problems across different sectors could become easier to identify.
Measurable Results Matter Most
The most promising scenario for the project is integrating AI with existing regional and federal feedback systems. If that happens, the neural network could perform the broadest possible range of functions. Success will ultimately be measured by concrete results that can be expressed in numbers: shorter request-processing times, fewer manual operations, more accurate routing and easier tracking of case resolution for residents.
If regional developers create an independent software product built on a Russian technology stack and prove it on large volumes of citizen requests, the system could eventually be offered to other regions or foreign government agencies. Interest could potentially come first from countries in the Commonwealth of Independent States. Russia and Kazakhstan, for example, have already discussed sharing experience in the use of AI for government services.
AI Advisers Across Countries and Regions
The Samara project is not the first example of a regional government using neural networks to handle residents’ requests. In 2023, Tyumen Region Governor Alexander Moor reported that AI was being used in the region’s call centers. According to Moor, AI independently handled about 45% of calls from residents. Later, in early 2026, the regional government announced the deployment of Directum RX Intelligence AI tools: the system distinguishes between incoming letters and citizen requests, automatically enters document details and identifies up to three separate issues contained in a single message. In Moscow Region, meanwhile, algorithms have been used in the Dobrodel (Good Deed) app since December 2022 to automatically identify the topics of citizen requests. By October 2025, AI had helped determine the topics of more than 4.2 million messages.
Similar developments are underway in other countries. In 2025, Kazakhstan announced that it had begun developing a 24/7 chatbot with AI capabilities to provide legal guidance to citizens. The system was planned to connect directly to the government’s legal information system so that its answers would be based on current regulations, while allowing users to connect with a human professional when necessary.
Humans Will Help Prevent Errors
In Russia, artificial intelligence is gradually moving beyond government agencies’ internal analytics systems and into public-facing services designed for direct interaction with citizens. The Samara project’s distinctiveness will therefore depend on how it is implemented. Initially, the AI will not make decisions independently, and its role will be limited to assisting human professionals. This approach is already used in Russian systems currently in operation.
