This paper introduces RELA as an enterprise architecture for governing language, meaning and interpretation across AI-enabled services. It explains how strategy, semantic control, knowledge, AI platforms, governance and assurance work together to support trusted operational outcomes.
This paper explains why responsible AI requires control over definitions, rules, context, evidence and interpretation. It sets out how semantic control strengthens consistency, explainability, traceability and accountability across regulated decisions and language-intensive business processes.
