Regional AI initiatives span traffic management systems, advanced security through video analytics in educational and social institutions, and the improvement of medical imaging to enhance disease diagnosis through artificial intelligence.
Within Russia, the national Data Economy program projects that AI-related measures could boost GDP by more than 11 trillion rubles. Public sector innovations stand to benefit civil servants and citizens who rely on government services alike. AI is proving effective in automating responses to citizen requests and speeding up service delivery. Implementing AI across regional and federal agencies can elevate how people interact with the state and access public resources.
According to Ilya Pomerantsev, CEO of Celsor and a member of the commission setting ethical guidelines for AI, deploying AI technologies in the public sector can raise the quality of life for residents and improve civil service efficiency.
“AI is becoming a critical driver for public services. It can automate the handling of citizen inquiries, trim wait times in queues, and simplify form completion. To unlock full potential, investment in large language models, Data Lake architectures, and MLOps tooling is essential,” he noted. (Cited: AI ethics and governance commission, national AI initiative)
Under the federal project Artificial Intelligence, which operates within the broader Data Economy framework, the plan is to establish an AI platform for managing state and social services in Russia by 2026. This platform would host dedicated datasets for developers, forming a foundation for AI solutions tailored to the needs of federal and regional agencies. (Cited: federal AI program overview)
Is it feasible to unify digital government services onto a single platform? The GosTech digital platform already demonstrates this, standardizing the development and use of government information systems across departments.
Realizing AI integration requires centralized data management, rapid model development, and swift deployment. Experience suggests such progress is achievable through a platform-based approach. This year may see the initial AI products appearing on the GosTech platform, including speech recognition and synthesis, a digital assistant, capabilities for printed and handwritten text recognition, and computer vision among others. (Cited: GosTech platform rollout)
MLOps tools for collaborative ML model development will be available to developers on the platform, paired with libraries, custom datasets, and a catalog of models supporting government services. Could GosTech serve as the backbone for the national Data Economy AI platform? The industry answer is yes, especially with Sber as GosTech’s technology partner. Sber’s recent AI work and its public sector experience provide strong confidence in handling the platform’s creation and eventual scaling nationwide. (Cited: Sber partnership and public sector AI capacity)
Vadim Yun, CEO of IT firm Kryon, argues that the country’s leading high‑tech players have the resources, infrastructure, and capability to scale AI solutions nationwide.
“Integrating artificial intelligence into state services via a dedicated platform will boost the efficiency of federal and municipal offices, speed up decision-making, and raise the quality of services for residents. Innovative companies can concentrate solutions on this challenge, and the move toward AI in public services is a significant step toward international technological leadership.”
AI is increasingly central to public sector work. It speeds up processes, personalizes government service experiences, and reduces waiting times. The GosTech platform enables the integration of AI into government agencies, providing developers with the tools and resources to create new services that improve residents’ lives and enhance the performance of public administration across the country.