Context

Nuclear facilities rely on equipment that must operate with absolute reliability. With hundreds of components carrying different safety roles and risk levels, maintenance teams must determine which items require attention first, not just what needs maintenance. Manual sorting across logs, classifications, and safety indicators slows decisions and increases inconsistency.

Maintenance Priority Intelligence uses an AI‑first framework in Microsoft Planner Designer to centralize equipment attributes, evaluate risk‑based priorities, and deliver clear explanations through Copilot.

Challenges

Maintenance teams manage large equipment inventories with varying safety classifications and reliability measures. Comparing these manually leads to inconsistent rankings and time‑consuming reviews. Supervisors need transparent justification for audits, while repeated deferrals and priority shifts are difficult to track without automation.

Solution

The Maintenance Priority Intelligence Copilot evaluates equipment using weighted logic—consequence of failure, reliability importance, and safety classification—to produce a ranked maintenance list with clear reasoning.

A model‑driven app supports leads and supervisors with real‑time visibility into priority status and trend monitoring. Automated workflows flag repeated deferrals and maintain audit‑ready history, ensuring fast, transparent, and defensible maintenance decisions.