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Turn maintenance logs into trend reports

Find repeat failures in downtime and work-order notes.

Estimated time saved

Estimated: a few hours of manual review per month. (Estimate; results vary.)

Tools
  • ChatGPT (data analysis)
  • Microsoft Copilot in Excel
  • Claude

The problem

Maintenance notes are free text in a spreadsheet or CMMS export; nobody has time to spot recurring failures.

Step by step

  1. 1Export the last 3–6 months of work orders to CSV.
  2. 2Upload to ChatGPT or open in Excel with Copilot.
  3. 3Ask for categorization by asset and failure type and a count by month.
  4. 4Review the top repeat failures with the maintenance lead and plan PMs.

Copy-paste prompt

Prompt
This CSV contains maintenance work orders. Group them by asset and by failure type (mechanical, electrical, hydraulic, operator, other). Show the top 10 repeat issues with counts and dates, and suggest which assets need a preventive maintenance review.

Review AI output before using it. Don’t paste confidential, customer or patient data into tools your company hasn’t approved.

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