Operations
AI Maintenance Agent
From reactive to predictive: tenant requests are classified and closed end-to-end, and asset failures are forecast before they happen.
Tickets automated
84%
+21ptAvg. resolution
1h 52m
-46%SLA met
97.3%
Failures prevented
38
Last 90 days
Live tickets
Tenant-reported
“Air conditioning isn't working”On site
MT-40912 · Nexus Fintech · CapitaSpring L28 · HVAC · FCU · Ramesh (Daikin) · 2h 10m left
“Water leak near pantry”Verified
MT-40907 · Infosys BPM · ITPB Discoverer · Plumbing · Suresh K · Resolved in 48m
“Shutter jammed”Assigned
MT-40899 · Uniqlo · Plaza Singapura · Civil · Roller shutter · Tan Wei Ming · 35m left
“Exhaust fan noisy”Verified
MT-40893 · Toast Box · Bugis Junction · M&E · Ventilation · Ali Hassan · Resolved in 1h 20m
Predictive maintenance
Failure probability
AHU-14 · Raffles City L372% in 30 days
Bearing vibration trend +38%
Chiller CH-2 · ITPB54% in 45 days
Approach temp drift
Lift L7 · CapitaSpring41% in 60 days
Door motor current spikes
Pump P-3 · Funan28% in 90 days
Seal wear from runtime hours
Maintenance intelligence
Eight-week operating trend · demonstrative data
Live model
Assets monitored
475
Prevented faults
74%
Human handoff
12%
Autonomy trajectory
Prevented faults versus human handoff