Toward Continuous Assurance for the Democratization of AI Agent Creation in Industry

AI agents are increasingly created inside organizations by non-engineering users through low-code, no-code, and conversational development environments. This democratization enables rapid local innovation, but it also creates a reliability gap: agents that appear to users as simple productivity artifacts may depend on changing models, tools, retrieval sources, permissions, prompts, schedules, and external services. These dependencies can cause silent degradation long after deployment, even when

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ethics.ai (23 July 2026), “Toward Continuous Assurance for the Democratization of AI Agent Creation in Industry,” evidence record 13048, https://ethics.ai/record/13048 (originally published by arXiv).

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