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2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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AI at work: Southern Nuclear’s adoption of Copilot agents drives fleet forward
Southern Nuclear is leading the charge in artificial intelligence integration, with employee-developed applications driving efficiencies in maintenance, operations, safety, and performance.
The tools span all roles within the company, with thousands of documented uses throughout the fleet, including improved maintenance efficiency, risk awareness in maintenance activities, and better-informed decision-making. The data-intensive process of preparing for and executing maintenance operations is streamlined by leveraging AI to put the right information at the fingertips for maintenance leaders, planners, schedulers, engineers, and technicians.
Karim Habayeb, William Drews, David Poulin, John Raby, Anthony Yost (Exelon Corp.), Edward L. (Ted) Quinn (Technology Resources)
Proceedings | Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technolgies (NPIC&HMIT 2019) | Orlando, FL, February 9-14, 2019 | Pages 317-326
This paper summarizes an updated process for risk-informed surveillance frequency control program (RI-SFCP) implementation at the Fitzpatrick nuclear power station in the past two years. This paper covers the Fitzpatrick program of implementing industry initiative 5b RI-SFCPs for multiple Technical Specification controlled surveillances. This project includes selection and prioritization of specific target surveillance test interval extensions; and development, review, and implementation of surveillance test risk informed documented evaluation (STRIDE) packages designed to support extension of conventional surveillance requirement test intervals, in accordance with “Risk-Informed Technical Specifications Initiative 5b, Risk-Informed Method for Control of Surveillance Frequencies, Industry Guideline,” NEI 04-10, Revision 1 [1]. The scope of work associated with STRIDE development includes probabilistic risk assessment (PRA) case studies, deterministic assessment (DA) evaluations, and, where required, instrument drift evaluation (IDE). This paper outlines a framework and lessons learned for practical implementation of an RI-SFCP for Fitzpatrick within the context of an integrated risk-informed performance-based regulation application program with emphasis on instrumentation and control systems.