See how 21 companies
use AI for predictive maintenance

Context Windows brings together credible AI case studies from the open web, so you can pick and prioritise the use cases that are already working.

Real-world implementations from

United Express logoU
United ExpressSystem monitoring
Western Governors University logoW
Western Governors UniversityIncident investigation
Delhi Metro Rail Corporation (DMRC) logoD
Delhi Metro Rail Corporation (DMRC)Predictive maintenance
Ensono logoE
EnsonoIT incident management
United Express logoU
United ExpressSystem monitoring
Western Governors University logoW
Western Governors UniversityIncident investigation
Delhi Metro Rail Corporation (DMRC) logoD
Delhi Metro Rail Corporation (DMRC)Predictive maintenance
Ensono logoE
EnsonoIT incident management
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Showing 9 of 21 case studies
United Express logoU

United Express

Travel & Tourism|Enterprise

System monitoring

AgenticL2

336 hours a month combing 8M daily logs by hand, always one step behind. Now engineers ask in plain language and act in minutes, not hours.

~90%MTTR Reduction
via aws.amazon.com
Published Jun 11, 2026
Western Governors University logoW

Western Governors University

Education & Training|Enterprise

Incident investigation

AgenticL3

Teams searched blind across disconnected systems for days. An AI agent now runs the investigation, surfacing root cause automatically.

77%Resolution Time Reduct.
via dynatrace.com
Published Jun 11, 2026
Delhi Metro Rail Corporation (DMRC) logoD

Delhi Metro Rail Corporation (DMRC)

Government & Public Sector|Enterprise

Predictive maintenance

AgenticL4

Teams manually monitored 395km of track. Now, AI predicts faults like wire sagging in real time, targeting 20% less downtime.

~15%Planning Time Reduction
via cloud.google.com
Published Feb 6, 2026
Ensono logoE

Ensono

Technology|Mid-size

IT incident management

AgenticL2

Teams manually reviewed dashboards after IT issues occurred. Now, AI predicts failures and hands engineers 1-minute resolution plans.

54%MTTR Reduction
via snowflake.com
Published Feb 4, 2026
FAW Group logoF

FAW Group

Automotive & Mobility|Enterprise

Remote vehicle maintenance

AgenticL3

Manual reviews and language gaps dragged repairs to a week. AI now diagnoses faults in 100 languages, halving the cycle.

3-4 daysRepair Cycle Time
via aws.amazon.com
Published Dec 28, 2025
Cowboy Properties logoC

Cowboy Properties

Real Estate & Construction|SMB

Work order management

AgenticL4

Manual tracking across 3,000 units obscured technician performance. Now, AI auto-routes work by specialty and tracks completion times.

via eliseai.com
Published Dec 24, 2025