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Modeling Agentic Technical Debt and Stochastic Tax: A Standalone Framework for Measurement, Simulation, and Dashboarding

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Modeling Agentic Technical Debt and Stochastic Tax: A Standalone Framework for Measurement, Simulation, and Dashboarding
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The article presents a framework for measuring and simulating Agentic Technical Debt and Stochastic Tax in AI systems. It distinguishes between accumulated design liabilities and recurring operational burdens in business workflows. The framework includes a dashboard expression, a structural model, and practical examples for estimation from operational data.

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arXiv cs.AI
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Computer Science > Artificial Intelligence arXiv:2605.27320 (cs) [Submitted on 26 May 2026] Title:Modeling Agentic Technical Debt and Stochastic Tax: A Standalone Framework for Measurement, Simulation, and Dashboarding Authors:Muhammad Zia Hydari, Raja Iqbal, Narayan Ramasubbu View a PDF of the paper titled Modeling Agentic Technical Debt and Stochastic Tax: A Standalone Framework for Measurement, Simulation, and Dashboarding, by Muhammad Zia Hydari and 2 other authors View PDF HTML (experimental) Abstract:Agentic AI systems combine probabilistic reasoning with delegated action through tools, context, memory, orchestration, and external workflow integration. This note develops a formal and managerially usable model that distinguishes Agentic Technical Debt from Stochastic Tax.

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