Governance Standard

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THE ADMISSIBILITY GAP IN AI DECISION SYSTEMS

AI is now embedded across enterprise decision surfaces: executive briefings, board materials, finance and risk workflows, productivity platforms, and increasingly, agent-driven systems that recommend or initiate actions. Despite improvements in model quality, grounding, and transparency, organizations still face challenges in establishing robust AI governance to determine when AI-derived information is legitimate to rely on in decision-grade AI contexts. This creates an AI reliance risk, as there is no clear mechanism to define authority boundaries or to prevent downstream workflows from proceeding when the information provided by AI is uncertain.