DataGlance Executive Vice President Nathan Ives Contributes to EPRI Nuclear Maintenance Planning Standard
DataGlance, a provider of AI-enhanced enterprise asset management software and services to the Nuclear and Defense industries, today announced that Nathan Ives, Executive Vice President, contributed to the Electric Power Research Institute’s (EPRI) Maintenance Work Planning Guidance, Revision 3 (EPRI Report No. 3002032007, 2025). Specifically, Ives wrote Section 9.7.1, Artificial Intelligence-Assisted Work Planning, providing the Nuclear Industry’s first authoritative guidance on the functional design and operational integration of AI-assisted work planning solutions in nuclear maintenance environments.
EPRI is the world’s foremost independent research and development organization serving the global electric power industry. Founded in 1972, EPRI produces the technical standards, guidelines, and research that utilities across the United States and internationally rely upon to operate safely, efficiently, and reliably. EPRI’s technical reports are considered among the most authoritative references in nuclear power generation, and inclusion as a contributing author represents a significant recognition of both technical expertise and industry standing.
Ives’ contribution spans the complete lifecycle of AI-assisted work package development in nuclear maintenance environments. His section addresses the design and integration requirements for AI-assisted work planning solutions, covering initial work order creation, scope and task definition and approval, resource assignment, work order approval workflows, and generative AI performance monitoring and continuous improvement. The guidance is designed to help nuclear utilities adopt AI tools that reduce the time required to develop accurate, complete, and regulatory-compliant work packages while continuously improving through planner and technician feedback.
“The nuclear power industry operates to standards that leave no margin for ambiguity and EPRI’s guidelines reflect that expectation. Being invited to author the AI-assisted work planning section of this revision reflects DataGlance’s position at the intersection of nuclear operational expertise and enterprise AI software development. I am proud that this guidance will help shape how nuclear utilities evaluate, implement, and continuously improve AI work planning tools as the industry advances.”
— Nathan A. Ives, Executive Vice President, DataGlance
Ives brings more than three decades of nuclear industry and enterprise AI experience spanning roles as a U.S. Navy Nuclear Submarine Officer, NRC-licensed Senior Reactor Operator, INPO Senior Operations Evaluator, and Big 4 Nuclear Practice Leader. His work with nuclear utility leaders produced measurable operational and financial results: an accelerated plant cooldown approach saving approximately 12 hours and $500,000 in outage cost; work management and supply chain improvements identifying over $200 million in spare parts inventory reductions and yielding more than $1 million in annual expediting cost savings. At DataGlance, Ives conceived and led the commercial launch of the company’s enterprise AI-assisted work planning software — a platform he designed to reduce corrective maintenance work package planning time by up to 50 percent — and whose performance and design principles directly informed his contribution to this EPRI guideline.
The publication of Maintenance Work Planning Guidance, Revision 3 marks the first time EPRI has included dedicated guidance on artificial intelligence in the nuclear maintenance work planning process, reflecting the industry’s growing adoption of AI-assisted tools to improve work package quality, planning efficiency, and regulatory compliance. The report is published for use by nuclear utility work planners, maintenance supervisors, and work management professionals across the United States and internationally.
About DataGlance
DataGlance is a leading provider of AI-enhanced enterprise asset management software to the Nuclear and Defense Industries. DataGlance’s solutions combine deep Nuclear and Military Industry operational expertise with enterprise AI capabilities to help clients measurably improve the safety, efficiency, accuracy, and compliance of their maintenance and asset management programs. For more information, visit www.dataglance.com.
