336 hours a month combing 8M daily logs by hand, always one step behind. Now engineers ask in plain language and act in minutes, not hours.
A regional airline subsidiary operating more than 2,000 daily departures across hundreds of U.S. communities, with a weight and balance system that governs every flight across 530 regional jets and generates 8 million log entries per day from multiple external sources.
The data volume made manual oversight unsustainable, with no automated way to surface anomalies as they formed. Core support engineers spent 336...
“The quicker we can identify issues, the quicker we can fix or prevent them to deliver excellent customer service in the moments that matter most.”
Regional airline brand for United Airlines, operating short-haul flights.
Helped United Express build an agentic AI observability solution on AWS
Cloud computing platform and on-demand infrastructure services.
United Express's System monitoring is part of this use case:
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336 hours a month combing 8M daily logs by hand, always one step behind. Now engineers ask in plain language and act in minutes, not hours.
A regional airline subsidiary operating more than 2,000 daily departures across hundreds of U.S. communities, with a weight and balance system that governs every flight across 530 regional jets and generates 8 million log entries per day from multiple external sources.
The data volume made manual oversight unsustainable, with no automated way to surface anomalies as they formed. Core support engineers spent 336...
“The quicker we can identify issues, the quicker we can fix or prevent them to deliver excellent customer service in the moments that matter most.”
Regional airline brand for United Airlines, operating short-haul flights.
Helped United Express build an agentic AI observability solution on AWS
Cloud computing platform and on-demand infrastructure services.
United Express's System monitoring is part of this use case:
Related implementations across industries and use cases
Millions of queries across 1,300 topics overwhelmed support. Now, an AI agent resolves them instantly, freeing staff for complex cases.
Complex queries bottlenecked access to insights. Agents now translate plain language into expert dashboards and root cause analysis.
Technicians spent six months learning to parse noisy network logs. Now, an AI assistant correlates alarms for rapid root-cause analysis.
Manual reviews and language gaps dragged repairs to a week. AI now diagnoses faults in 100 languages, halving the cycle.
Teams manually reviewed dashboards after IT issues occurred. Now, AI predicts failures and hands engineers 1-minute resolution plans.
Manual dispatching bottlenecked guest requests. Now, an in-app AI instantly routes tasks to optimal staff and tracks execution.
Search relied on five rigid boxes for 30 years. Semantic AI now interprets natural language, boosting upgrade revenue up to 20%.
AI scaling fast with no visibility into model costs or performance. Teams now catch runaway spend and failing models before deliveries slip.
Misclassified tickets drove needless escalations. Now, an AI agent auto-routes cases and surfaces 1-click resolutions for support teams.