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The focus of my presentation is lawful tax optimization mechanisms in Georgia, examined through business case analysis and in the context of emerging regulatory developments planned for 2026.The relevance of this topic arises from the increasing tension between formal tax compliance requirements and actual business behavior, particularly under conditions of rapid digitalization and risk-based tax administration.While Georgia is often characterized by relatively low tax rates and simplified tax structures, empirical business practice suggests that many firmsespecially small and medium-sized enterprises-continue to face elevated effective tax burdens and compliance risks.This paradox raises an important research question: why do legally available tax optimization instruments remain underutilized, and how do regulatory changes shape business behavior beyond formal compliance?The study is situated within the broader context of Georgia's ongoing transition toward digital tax governance and anticipates the behavioral and institutional implications of the regulatory reforms planned for 2026.Theoretical Framework From a theoretical perspective, the research builds on the distinction between lawful tax optimization and tax evasion or aggressive tax avoidance.Lawful tax optimization refers to the strategic and legally permissible structuring of economic activities in a manner that minimizes tax liabilities without violating statutory requirements.Contemporary tax theory increasingly emphasizes that tax optimization cannot be understood solely as a technical accounting exercise.Instead, it represents a strategic interaction between tax law, accounting standards, and business decision-making, particularly in environments characterized by digitalized tax administration and automated risk assessment.Two conceptual lenses are especially relevant to this study.First, the principle of economic substance, which requires that tax outcomes reflect genuine economic activity rather than purely formal legal arrangements.Under digitalized tax systems, this principle gains practical importance, as algorithmic risk profiling increasingly evaluates consistency between transactions, documentation, and business logic.Second, insights from institutional and behavioral economics suggest that tax-related decisions are shaped not only by cost-benefit considerations but also by risk perception, regulatory uncertainty, and compliance culture.For small and medium-sized enterprises, risk