The Review Board Problem: Multi-Assessor Compliance Through Parallel Expert Analysis

The document presents a governance architecture that addresses the "review board problem" in federal AI system compliance assessment, where single assessors cannot adequately evaluate systems across all twenty NIST control families due to cognitive and expertise limitations, resulting in uneven assessment quality and potential authorization blind spots.

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

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• Establishes a structured approach to multi assessor that aligns technical implementation with federal compliance requirements.
• Demonstrates how Multi-Assessor 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.