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

Fuente: arXiv
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Main Authors: Hydari, Muhammad Zia, Iqbal, Raja, Ramasubbu, Narayan
Format: Preprint
Published: 2026
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author Hydari, Muhammad Zia
Iqbal, Raja
Ramasubbu, Narayan
author_facet Hydari, Muhammad Zia
Iqbal, Raja
Ramasubbu, Narayan
contents 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. Agentic Technical Debt is a stock of accumulated design and governance liability. Stochastic Tax is a recurring flow of operating burden that arises when stochastic agents are used in business workflows. The two constructs are related, but they are not the same: debt can amplify the tax, while the tax can remain positive even when debt is minimized. The note starts from a compact dashboard expression, expands it into a fuller structural model, defines all variables and parameters, shows how each cost category can be estimated from operational data, and illustrates the framework with an accounts-payable simulation and companion spreadsheet.
format Preprint
id arxiv_https___arxiv_org_abs_2605_27320
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Modeling Agentic Technical Debt and Stochastic Tax: A Standalone Framework for Measurement, Simulation, and Dashboarding
Hydari, Muhammad Zia
Iqbal, Raja
Ramasubbu, Narayan
Artificial Intelligence
Computers and Society
General Economics
Economics
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. Agentic Technical Debt is a stock of accumulated design and governance liability. Stochastic Tax is a recurring flow of operating burden that arises when stochastic agents are used in business workflows. The two constructs are related, but they are not the same: debt can amplify the tax, while the tax can remain positive even when debt is minimized. The note starts from a compact dashboard expression, expands it into a fuller structural model, defines all variables and parameters, shows how each cost category can be estimated from operational data, and illustrates the framework with an accounts-payable simulation and companion spreadsheet.
title Modeling Agentic Technical Debt and Stochastic Tax: A Standalone Framework for Measurement, Simulation, and Dashboarding
topic Artificial Intelligence
Computers and Society
General Economics
Economics
url https://arxiv.org/abs/2605.27320