My project explores how AI and data-driven architectures can transform public governance by shifting from reactive, rule-based administration to predictive, intelligence-based decision systems. It integrates computational modeling, policy design, and behavioral insights to create a scalable framework for evidence-based digital government.
RMS & RTR — the new architecture of business regulation in Kazakhstan.
The project automates the Risk Management System (RMS) and the Register of Mandatory Requirements (RTR), creating a transparent, data-driven, and predictable model of state control.
By integrating 30 government information systems and 269 risk indicators, inspections are now generated automatically — without human bias.
The Register consolidates all regulatory norms and notifies businesses about changes relevant to their economic activity (OKED).
The result — less administrative burden, more trust, and higher efficiency in the relationship between government and business.
Kazakhstan’s government launched a nationwide Digital Transformation Project to modernize public administration through business process reengineering (BPR) and full-scale digital integration across all sectors.
The project aims to shift from fragmented, paper-based procedures to data-driven, proactive, and citizen-centric governance.
Through reengineering of 600+ government services and the creation of unified digital platforms, the state ensures transparency, efficiency, and interoperability between agencies.
Key components include:
Process reengineering — simplification and automation of workflows based on user experience;
Unified data architecture — integration of national registers and analytics systems;
Platform approach — “Government for Business” and “Government for Citizens” ecosystems;
AI-based risk management and proactive services — reducing bureaucracy and enabling real-time decision-making.
The result: faster public services, reduced regulatory burden, and a government that operates as a single digital platform — smart, efficient, and people-oriented.