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The Stochastic Gap: A Markovian Framework for Pre-Deployment Reliability and Oversight-Cost Auditing in Agentic Artificial Intelligence
This paper introduces a Markovian framework to audit the reliability and oversight cost of agentic AI systems in organizational workflows before deployment. It reveals the "stochastic gap," where systems may appear state-level supported but possess blind spots in next-step decisions, impacting reliability and increasing human oversight.