TK Elevator advances global field service with agentic AI on Azure

Use case typeAI agentsUpdated Jun 23, 2026

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
Location
Germany
Published
June 2026

Reported outcomes

−40%

callbacks reducedOther quantified impact

20,000 visitsunplanned service visits avoided

Strategic outcomes

Risk & complianceImproved safety and uptimeCost efficiencyGenerated cost savingsSustainability & ESGGenerated CO2 savingsOther strategic outcomeCreated a global learning loop for field service

Primary read

Use case focus

Showing 3 of 3

  • 1AI agents
  • 2Workflow automation
  • 3Real-time analytics
Reduce unplanned service visits and improve uptime and safety-critical compliance by giving technicians real-time context before and during onsite visits.
  • Built cloud-connected elevator telemetry and governed analytics on Azure.
  • Used Azure AI-powered agentic AI to assemble customer context, recommend actions, and capture post-visit summaries.
  • Enabled global knowledge sharing across technicians and Digital Operations Centers.
Technologies
  • 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
Groundedness: 5/5Type: Customer StoryPublished: Jun 23, 2026Publisher: MicrosoftEvidence: PrimaryConfidence: High

AI-generated summary. Verify important details with the linked sources before relying on this case.

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