Modeling Agentic Technical Debt and Stochastic Tax: A Standalone Framework for Measurement, Simulation, and Dashboarding
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.
- ▪Agentic AI systems integrate probabilistic reasoning with delegated actions.
- ▪Agentic Technical Debt refers to accumulated design and governance liabilities.
- ▪Stochastic Tax is a recurring operational burden associated with using stochastic agents.
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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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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.