Uzbekistan's Ministry of Economy and Finance presented the UZSOE Intelligence Platform to identify financial weaknesses in enterprises with state participation, assess fiscal risks and help prioritize reforms. Developed jointly with the Algorithmic Governance Foundation, the platform combines financial analysis with an artificial intelligence assistant to support assessments of which enterprises need closer scrutiny and what measures warrant consideration. Initial work has focused on energy and transport enterprises, including railways. The platform brings together financial statements, registers, audit findings and other sources to assess profitability, liquidity, debt burdens and dependence on state support. Its analytical framework combines 15 financial indicators and 12 predefined risk signals, drawing on the International Monetary Fund's approach to assessing financial risks at state enterprises. Trends over several years and comparisons with similar enterprises help identify deterioration that may warrant deeper investigation or stronger monitoring. The artificial intelligence assistant links financial results to supporting documents and can prepare short analytical briefs and recommendations. Implementation work envisages testing assessment criteria against individual enterprises, expanding data coverage and integrating analytical findings into the ministry's existing decision processes. Technical knowledge transfer and staff training are intended to enable the ministry to operate the system independently. Missing data are explicitly identified in assessments, while authorized specialists review final conclusions and proposed measures.
Uzbekistan's Ministry of Economy and Finance presents state enterprise risk platform using 15 indicators and 12 risk signals
Uzbekistan's Ministry of Economy and Finance has presented the UZSOE Intelligence Platform to assess financial and fiscal risks at enterprises with state participation and help prioritize reforms. The system uses 15 financial indicators, 12 risk signals and an artificial intelligence assistant, with initial work focused on energy and transport. Implementation plans cover testing assessment criteria, broadening data coverage and incorporating findings into ministry decisions, with specialists reviewing final conclusions and proposed measures.