Prose2Policy (P2P) is a LLM-based sensible software that interprets natural-language entry management insurance policies (NLACPs) into executable Rego code (the coverage language of Open Coverage Agent, OPA). It offers a modular, end-to-end pipeline that performs coverage detection, part extraction, schema validation, linting, compilation, computerized take a look at technology and execution. Prose2Policy is designed to bridge the hole between human-readable entry necessities and machine-enforceable policy-as-code (PaC) whereas emphasizing deployment reliability and auditability. We evaluated Prose2Policy on the ACRE dataset and demonstrated a 95.3% compile charge for accepted insurance policies, with automated testing attaining a 82.2% positive-test move charge and a 98.9% negative-test move charge. These outcomes point out that Prose2Policy produces syntactically strong and behaviorally constant Rego insurance policies appropriate for Zero Belief and compliance-driven environments.
