Everllence
Equipment troubleshooting
Mid-ocean diagnostics took hours per issue. AI now combines 5M docs with live telemetry to troubleshoot in <1 min.
- Troubleshooting time cut from hours to <1 minute
Technicians manually sifted 60,000 pages, taking 20 minutes per fix. AI now retrieves answers in under 2 minutes.
The producer of more than half of all general aviation aircraft flying today supports 50 different models across a global network of 20 service centers.
Maintaining diverse fleets required technicians to manually sift through 60,000 pages of technical documentation to find specific instructions. This...
“We presented the challenge to Microsoft, emphasizing the need to provide technicians with quicker access to the information they need.”
Manufacturer of Beechcraft and Cessna business and general aviation aircraft.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Textron Aviation's Maintenance troubleshooting is part of this use case:
Related implementations across industries and use cases
Mid-ocean diagnostics took hours per issue. AI now combines 5M docs with live telemetry to troubleshoot in <1 min.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
Building a compliant bot took 512 hours. A unified framework cuts that to 64, launching agents with just 50 lines of code.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.
Technicians manually sifted 60,000 pages, taking 20 minutes per fix. AI now retrieves answers in under 2 minutes.
The producer of more than half of all general aviation aircraft flying today supports 50 different models across a global network of 20 service centers.
Maintaining diverse fleets required technicians to manually sift through 60,000 pages of technical documentation to find specific instructions. This...
“We presented the challenge to Microsoft, emphasizing the need to provide technicians with quicker access to the information they need.”
Manufacturer of Beechcraft and Cessna business and general aviation aircraft.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Textron Aviation's Maintenance troubleshooting is part of this use case:
Related implementations across industries and use cases
Mid-ocean diagnostics took hours per issue. AI now combines 5M docs with live telemetry to troubleshoot in <1 min.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
Building a compliant bot took 512 hours. A unified framework cuts that to 64, launching agents with just 50 lines of code.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.