A Scoring-Based Governance Framework for Prompted AI: Deployment Readiness Metrics and Compliance-Aware Maturity Assessment

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Authors: Ariel J. Furlow
Cited by: 0

Abstract

The Deployment Readiness Score Formula is a comprehensive governance framework implemented in Notion for assessing AI prompt maturity in high-stakes deployment contexts. This framework provides quantitative risk assessment across safety-critical domains including CBRN security, biosecurity, medical AI, financial systems, and legal applications. The scoring algorithm evaluates three core dimensions: metrics completeness (30%), prompt development status (35%), and optimization level (35%), with domain-specific criticality multipliers for safety-sensitive applications. This publication package includes complete implementation specifications, validation methodology, example calculations, and integration guidelines for organizational AI governance workflows. The framework bridges theoretical AI safety principles with operational deployment practices, enabling evidence-based decisions about prompt readiness for production environments.

Fields of Study & Subjects

Ethics and Social Impacts of AI Safety Systems Engineering in Autonomy Artificial Intelligence Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
26 February 2026
Language
EN
Document type
Book