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recruitment mechanisms and competitive compensation policies are necessary to prevent
                  “brain drain” from the public sector to private enterprises.
                        Fourth, build a data-driven decision-making culture. This requires changing
                  management thinking, shifting from subjective experience to verified quantitative analysis.
                        3.5.4. Implementation roadmap and sustainability
                        Viet Nam may adopt a phased approach: (i) piloting risk-monitoring models in
                  selected ministries, sectors, or localities with large-scale public investment; (ii) assessing
                  impacts in terms of effectiveness, costs, and the level of acceptance among officials; and
                  (iii) refining the institutional framework before scaling up nationwide.
                        The three pillars, Smart Treasury Platform, AI integration, and human resource
                  development, should be implemented in a synchronized manner within the financial
                  sector’s digital transformation strategy through 2030. The long-term objective is not only
                  to detect irregularities but also to optimize resource allocation, enhance the efficiency of
                  public expenditure, and strengthen public trust.
                        Building an intelligent PIE monitoring model represents a comprehensive reform
                  process that combines data infrastructure, analytical technologies, and human capacity. If
                  implemented systematically, Viet Nam can gradually move toward a transparent,
                  proactive, and sustainable public financial governance model in the digital era.
                        4. Conclusion
                        The application of BDA and AI in monitoring PIE marks a shift from an ex-post
                  control model to a proactive risk-based governance approach. With public investment
                  accounting for approximately 28-30% of total state budget expenditure, strengthening
                  monitoring capacity is crucial to improving the efficiency of national resource allocation.
                  However, technology can only be effective when built upon a solid data governance
                  foundation, a transparent legal framework, and clear accountability mechanisms. The
                  Smart PFM model is not intended to replace human decision-makers with algorithms, but
                  rather to enhance data-driven decision-making capacity. If implemented through an
                  appropriate roadmap, Viet Nam can gradually develop an intelligent, transparent, and
                  digitally adaptive public financial ecosystem aligned with the demands of the digital era.

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                        [3]. Financial Informatics and Statistics Center (FIST), MOF of Viet Nam. (2023).
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                        [4]. IMF. (2023). Fiscal Monitor: Navigating the High Debt Challenges.
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