The Interdependency Chain: AI-Powered Change Impact Analysis for Regulated Environments

This document presents a production-ready architecture for AI-powered regulatory change impact analysis in federal programs, particularly within the National Airspace System, arguing that manual impact assessments fail because they cannot systematically identify implicit dependencies and provide no evidence of search completeness.

This paper presents a detailed examination of the challenges and solutions addressed by Interdependency Chain, providing actionable frameworks for organizations navigating the intersection of AI adoption and regulatory compliance.

Register or purchase to access the complete paper.

• Establishes a structured approach to interdependency that aligns technical implementation with federal compliance requirements.
• Demonstrates how Interdependency Chain concepts translate directly into measurable engineering controls and audit artifacts.
• Provides implementation patterns validated against real-world deployment constraints in regulated environments.
• Identifies critical gaps in current approaches and proposes concrete architectural solutions backed by operational evidence.