Protect your airline’s revenue with agentic ITOps
Save millions by preventing delays and enabling safe digital modernization with agentic ITOps.
Prevent delays from impacting passengers
Agentic ITOps from BigPanda unifies fragmented airline systems, enriches incidents with context, and automates responses across NOCs, critical processes, and systems to prevent delays.
Unify mainframe and modern applications
BigPanda AI Detection and Response unifies alerts from mainframes and cloud applications into a centralized view of airline operations, reducing alert noise by up to 99%. BigPanda correlates signals and enriches them with context to identify emerging issues before they impact passengers.
Automate L1 operations with AI agents
Resolve issues across check-in kiosks, gates, and crew scheduling systems. Save up to $11.3M annually in labor costs by automatically gathering and summarizing relevant incident data to improve triage accuracy.
Eliminate lengthy bridge calls
Reduce MTTR by 80%. BigPanda AI Incident Assistant investigates incidents across flight ops, maintenance, crew scheduling, and customer services. Surface root cause instantly and contact only necessary teams, preventing potential crew timeouts and regulatory penalties.
Modernize without compromising safety
Assess change risk before deployment by analyzing code pushes against real-time operational topology with BigPanda AI Incident Prevention. Accelerate digital transformation while maintaining safety-first governance and preventing fleet-wide groundings.
FAQ
Can BigPanda integrate with aviation-specific software?
BigPanda offers a flexible integration framework that connects to any system via standard protocols. Our open architecture ensures compatibility with your entire technology stack, from legacy mainframes to modern cloud applications.
How does BigPanda handle multi-NOC incidents?
BigPanda creates a unified view across NOCs managing customer experience, crew scheduling, flight operations, and maintenance. When incidents span multiple areas, BigPanda automatically correlates alerts and surfaces connections, eliminating the need for lengthy bridge calls to determine root cause.
How does BigPanda provide additional context for NOC teams overseeing complex airline systems?
BigPanda enriches incidents with relevant context by ingesting and normalizing data from diverse sources, including topology, CMDB, service desk, and change integrations.
Multidimensional alert correlation and AI incident analysis provide disparate airline operations teams with deeper insights and automate root cause analysis (RCA) for quick, informed decision-making that keeps airlines running smoothly.
How does BigPanda ensure AI transparency and explainability?
BigPandaI provides full transparency into its decision-making process. Correlation, root cause analysis, and AI recommendations include clear explanations of how conclusions were reached. This ensures your teams understand and trust AI-driven insights while maintaining control over critical incident response decisions.
Check out more related content
E-BOOK
Laying the data foundation for agentic ITOps
Learn how agentic ITOps can improve mean time to resolution (MTTR), reduce L1 and MSP spend, prevent escalations, and improve SLAs and uptime.
- PlatformPlatform
- Agentic IT Operations
- Platform Overview
- AI Detection & Response
- AI Incident Assistant
- AI Incident Prevention
- IT Knowledge Graph
- BigPanda AIOps
- BigPanda Core
- Advanced Insight
- Biggy AI
- Rebranding Matrix
- Integrations
- Security & Compliance
- Features
- Detection
- Open Integration Hub
- AI Detection
- Diagnosis
- Service Desk Correlation
- Suggested Actions
- Incident Correlation
- Triage
- Automated Incident Triage
- Root Cause Analysis
- Similar Incidents
- Prevention
- Change Risk Management
- Problem Management
- Solutions
- Automating L1 Detection & Response
- Empowering Experts with AI Assistance
- Predicting & Preventing Disruptions
- Personas
- IT operations
- Incident management
- IT service management
- Site Reliability Engineering
- Industries
- Financial services
- Manufacturing
- Insurance
- Media and entertainment
- Managed services
- Airlines
- All industries