Servicing 1.4M elevators required manual data prep. Now, an AI agent equips technicians with real-time telemetry before they arrive.
A global vertical transportation provider maintains 1.4 million elevator units across more than 100 countries, managing complex equipment ranging from brand-new systems to units over 40 years old.
Service calls required manual preparation to assemble customer documentation, maintenance history, and technical updates for standalone elevator...
“Our goal is to harness the insights from our 25,000 global technicians and use the insights in our local operations. Our TKE technicians can arrive better informed as our Digital Operations Centers and the Azure AI–powered briefing agent brings the global expertise and current context together.”
TK Elevator's Field service support is part of this use case:
Manufacturer and service provider of elevators, escalators, and moving walkways.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Technicians faced long wait times for support. Now, an AI assistant queries manuals and IoT data instantly to speed up repairs.
Critical know-how was retiring with veteran engineers. Now, AI agents turn expert videos into instant, searchable guidance for new hires.
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Mid-ocean diagnostics took hours per issue. AI now combines 5M docs with live telemetry to troubleshoot in <1 min.
Sourcing native speakers for 14 markets was costly. Now, AI handles 40% of routine queries and translates live for a central English team.
Fragmented knowledge across 30 jurisdictions slowed work. Lawyers now use AI to draft and research, minimizing external counsel scope.
Data silos left field teams blind during outages. Now, scanning a QR code instantly delivers live diagnostics and AI-guided repair steps.
Manual maintenance reports and routine purchases bottlenecked staff. AI agents now accurately classify faults and recommend suppliers.
QA teams manually searched vast incident logs to assess deviations. Now, multi-agent AI synthesizes past cases into verified summaries.
Servicing 1.4M elevators required manual data prep. Now, an AI agent equips technicians with real-time telemetry before they arrive.
A global vertical transportation provider maintains 1.4 million elevator units across more than 100 countries, managing complex equipment ranging from brand-new systems to units over 40 years old.
Service calls required manual preparation to assemble customer documentation, maintenance history, and technical updates for standalone elevator...
“Our goal is to harness the insights from our 25,000 global technicians and use the insights in our local operations. Our TKE technicians can arrive better informed as our Digital Operations Centers and the Azure AI–powered briefing agent brings the global expertise and current context together.”
TK Elevator's Field service support is part of this use case:
Manufacturer and service provider of elevators, escalators, and moving walkways.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Technicians faced long wait times for support. Now, an AI assistant queries manuals and IoT data instantly to speed up repairs.
Critical know-how was retiring with veteran engineers. Now, AI agents turn expert videos into instant, searchable guidance for new hires.
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Mid-ocean diagnostics took hours per issue. AI now combines 5M docs with live telemetry to troubleshoot in <1 min.
Sourcing native speakers for 14 markets was costly. Now, AI handles 40% of routine queries and translates live for a central English team.
Fragmented knowledge across 30 jurisdictions slowed work. Lawyers now use AI to draft and research, minimizing external counsel scope.
Data silos left field teams blind during outages. Now, scanning a QR code instantly delivers live diagnostics and AI-guided repair steps.
Manual maintenance reports and routine purchases bottlenecked staff. AI agents now accurately classify faults and recommend suppliers.
QA teams manually searched vast incident logs to assess deviations. Now, multi-agent AI synthesizes past cases into verified summaries.