AI Tools For Building International Nuclear Regulatory Capacity

(RFI) Reviewing Smarter: AI Tools for Building International Nuclear Regulatory Capacity 1. Purpose and

Background This Request for Information (RFI) seeks to identify and assess commercially available, mature artificial intelligence (AI) tools that can accelerate and strengthen the international regulatory interface between the applicant and the regulator throughout the nuclear licensing process. This is a two-sided opportunity: tools that support the applicant in preparing, mapping, and submitting license application content across jurisdictions, and tools that support the regulator in reviewing, relating, and adjudicating that content rigorously and independently. The

objective is to enable a faster, higher-quality regulatory interface for both parties, drawing on U.S. regulatory precedent and applicable national law. Historically, design certification and combined license review can take years. The aim of this initiative is to accelerate licensing activities by years, compressing review, research, and drafting timelines, while ensuring a safe, traceable, and defensible regulatory interface and review. Acceleration must not come at the expense of rigor, explainability, or independent regulatory judgment; outputs must remain fully cited, auditable, and grounded in source documents so that both the applicant and the regulator can rely on them with confidence. This RFI is not a Request for Proposal (RFP) and does not commit the issuing authority to procure any product or service. It is intended to inform a potential subsequent pilot and deployment pathway. 2. Scope of Interest The issuing authority is interested in AI tools and platforms that support international regulator's licensing review function, including but not limited to: Intelligent search and discovery across large repositories of technical, safety, and licensing documentation Understanding and relating

requirements, guidance, licensing precedent, and prior regulatory reviews Identification of resolved topics, open items, and novel or safety-significant issues for prioritized review Mapping of national/U.S. licensing bases to IAEA and Western European Nuclear Regulators Association

requirements Automated drafting and generation of review-supporting documentation, with full citation and source traceability Explainable reasoning, with every output traceable to source documents Other capabilities as relevant for international regulator and/or applicant assistance Tools must be applicable across the full range of reactor classes including microreactors, small modular reactors (SMRs), advanced non-light-water reactors, new large light water reactors, and existing reactor upgrades. 3. Mandatory

Eligibility Criteria We are seeking respondents who can demonstrate the following capabilities. Nuclear AI experience. Demonstrated, deployed experience applying AI specifically to nuclear energy, licensing, compliance, or safety documentation (commercial, national laboratory, or regulatory deployments). Academic or purely conceptual claims do not satisfy this criterion. U.S. regulatory pedigree. Tool has been developed, validated, deployed, or otherwise substantively engaged with the U.S. Department of Energy (DOE) and/or U.S. Nuclear Regulatory Commission (NRC), or a U.S. national laboratory operating under DOE/NRC frameworks. Respondents must describe the nature and current status of that engagement. Reactor-class coverage. Demonstrated applicability across reactor types from micro to large (see Section 2). Security and sovereignty. Ability to deploy within various international sovereign cloud tenant or otherwise meet the issuing authority's data residency, security, and confidentiality