Author Outlines Audit-Grade AI Governance Framework for Regulated Engineering
An article published on April 5, 2026, outlines a framework for an audit-grade AI governance stack designed for regulated engineering sectors. The piece emphasizes that governance must be integrated from the start to prevent system failures.
The Governance Framework
The article, authored by Sergey Irisov and published by European Business Review, specifically "outlines an audit-grade AI governance stack" for use in regulated engineering environments. This stack is presented as a structured approach to managing AI deployment in high-stakes industries.
Core Argument on AI Risk
A central argument presented is the heightened risk-profile of AI in regulated fields. Irisov states, "Regulated engineering is where AI promises the most and fails the fastest unless governance is designed in." This quote underscores the article's thesis that proactive governance architecture is critical, not optional, for achieving reliable and certifiable outcomes from AI systems in these domains.
The framework is positioned as a necessary evolution from initial AI pilot projects toward systems that can deliver verified, certified results acceptable to regulators and auditing bodies.