The Stochastic Gap: Markovian Framework for Pre-Deployment Reliability Auditing of Agentic AI

arXiv·medium signal

This paper formalizes agentic AI deployment as a sequential decision problem constrained by reliability and oversight cost using Markov decision processes. When deterministic workflows are replaced by stochastic agent policies over actions and tool calls, the framework quantifies the reliability-oversight tradeoff before deployment. Provides a formal mathematical basis for answering 'how reliable must an agent be before we can deploy it with reduced human oversight?' — a pressing question for enterprise agent adoption.