Automated Compliance Evidence: How Prompt Evaluation Frameworks Generate AO-Ready Evidence Packages

This document argues that organizations conducting AI testing through prompt evaluation frameworks like Promptfoo are already generating the structured behavioral evidence required by federal Authorizing Officials for AI system Authorization to Operate, but failing to recognize and preserve these artifacts in compliance-ready formats.

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

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• Establishes a structured approach to promptfoo that aligns technical implementation with federal compliance requirements.
• Demonstrates how Compliance Evidence 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.