TK Elevator advances global field service with agentic AI on Azure
TK Elevator, a global leader in vertical transportation and urban mobility, maintains about 1.4 million units in more than 100 countries. The company built a real-time database on Azure so technicians can access telemetry, service history, shared knowledge, and customer-specific context before and during service visits. Azure AI-powered agentic modules assemble context in advance, recommend actions in the field, and capture voice-guided post-visit debriefs that update the global knowledge base.
- Organization
- TK Elevator
- Industry
- Manufacturing
- Location
- Germany
- Published
- June 2026
Reported outcomes
−40%
callbacks reducedOther quantified impact
Strategic outcomes
Primary read
Use case focus
Showing 3 of 3
- 1AI agents
- 2Workflow automation
- 3Real-time analytics
- Avoided about 20,000 unplanned service visits in the US.
- Reduced callbacks by more than 40% in the first year where DOCs-supported interventions were executed per unit.
- Strengthened safety and uptime and generated cost and CO2 savings.
Architecture
TK Elevator built a cloud-connected telemetry and governed analytics foundation on Azure, then layered agentic AI modules above it to assemble service context, guide technicians in the field, and capture post-visit debriefs that feed the global knowledge base.
Sources & evidence1
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