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SingaporeManufacturing2025 – ongoing

Rockwell Automation

Singapore factory maintenance copilot

Rockwell estimated its maintenance copilot shortened troubleshooting onboarding from 9 months to 3

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Problem

Technicians searched machine manuals and sought experienced colleagues when equipment stalled. Retiring workers also took practical maintenance knowledge with them.

Approach

Rockwell built an internal assistant using Azure OpenAI and Azure AI Search. Singapore technicians began using it in October 2025 to query manuals and veteran engineers' troubleshooting knowledge.

Results

3 monthsestimated troubleshooting onboarding time, down from 9 months, according to RockwellVendor case study[1]

Takeaway

The assistant made experienced workers' knowledge available during maintenance. The onboarding reduction was Rockwell's estimate.

Categories

Business function
Production and quality
Innovation type
Process innovation
AI technology
Generative AI
Evidence
Vendor case study

Sources

Source summaries

[1]Microsoft24 Sep 2026

Microsoft described technicians using Rockwell's internal maintenance assistant in Singapore. Rockwell estimated that new workers learned troubleshooting in 3 months instead of 9.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
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