Although many organizations publish high-level artificial intelligence principles, most lack a coherent framework to evaluate whether their communication practices are operationally ready for responsible use. Grounded in the NIST Generative AI Profile (NIST AI 600-1), algorithmic work scholarship, and communication-centered accountability, this study develops and validates a multidimensional model of organizational readiness for responsible AI communication.Using a multi-site empirical meta-synthesis and cross-sectional survey data (N = 1,420), we reveal a severe operationalization gap: while 73.9% of organizations exhibit symbolic policy presence, only 37.4% demonstrate functional operational readiness. Major vulnerabilities emerge in plain language and usability (28.4%), multilingual inclusion (22.1%), and monitoring routines (25.3%).Structural Equation Modeling shows that procedural verification and Human-in-the-Loop review routines completely mediate the link between enterprise AI capability and recipient trust (beta = .62, p < .001). We propose an actionable 4-tier human oversight architecture and an agenda for institutional AI governance.