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AI‑Driven Renewable Work Priority Evaluator

Context


Renewable energy sites never run out of maintenance work only time, access, and resources. Supervisors must decide daily which jobs protect uptime and production. The Renewable Work Priority Evaluator brings structure by assessing tasks using a small set of high‑impact parameters and uses Copilot to rank the day’s work with clear, plain‑language reasoning.


Challenges

Without a transparent, data‑driven approach, high‑value tasks get delayed while low‑impact tasks consume attention. Site supervisors and operations coordinators struggle to balance safety, urgency, and production impact. Manual prioritization is slow, subjective, and inconsistent, especially when multiple sites, assets, and maintenance lists grow daily.


Solution


Using Planner and AI‑First design, the system auto‑generates user requirements, processes, scoring logic, and data tables. It evaluates worklists, applies priority scoring, ranks tasks, and explains why certain jobs matter more right now. Canvas apps, automation flows, and a Priority Reasoning Assistant support supervisors with instant rankings, transparent logic, and insight boards to track completion and performance.


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