SOLUTION BRIEF

Agentic ITOps for Airlines

BigPanda saved a major airline more than $40 million during a major incident by enabling faster incident resolution and avoiding delayed and cancelled flights.

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Navigating the turbulence of modern airline growth

Major airlines worldwide are pursuing aggressive growth strategies by expanding routes, growing their fleets, and differentiating with new digital services. Airlines walk a fine line as they differentiate. They have to integrate new cloud technologies to provide modern customer experiences while simultaneously maintaining the critical legacy mainframes that power crew, flight, and maintenance systems. This transformation requires that every system, from the mobile app to the mainframe, perform harmoniously. However, the demands of day-to-day stability are often grounded by these compounding challenges:

Disconnected mainframe and digital systems

Getting an airplane off the tarmac requires more than 90 applications working in sequence, from the aircraft’s navigation system to the printer that generates baggage tags. In this complex web, IT teams are plagued with alert noise. With the average cost of a single flight cancellation reaching $79,000, a single missed signal can trigger cascading delays that paralyze the schedule and negatively impact revenue streams.

Siloed systems and scattered NOCs

Many airlines split their operations into distinct categories around customer experience, crew scheduling, flight operations, and maintenance. Often, these NOCs have siloed views of how their applications are interconnected. When incidents occur, finding the root cause across siloed applications, services, and networks is challenging, leading to lengthy bridge calls that prolong the disruption.

Rigid regulations and razor-thin margins

Airlines operate in a highly scrutinized, extremely competitive environment. IT-driven delays are more than an inconvenience; they cost an estimated $6,000 per hour per aircraft and trigger crew timeouts, FAA inspections, and mandatory DOT compensation. Any delays stemming from IT outages result in dissatisfied customers, public scrutiny, and expensive regulatory penalties.

Benefits

Safeguard critical flight operations

Automate L1 operations to resolve alerts instantly, preventing minor incidents from cascading into crew timeouts and delays.

Enable safe digital innovation

Unify visibility across legacy mainframes and cloud-native environments to accelerate modernization without compromising core operations.

Protect passenger experiences and revenue

Ensure availability for retailing and self-service channels to safeguard ancillary revenue streams and Net Promoter Scores (NPS).

Reduce operational and regulatory risks

Streamline incident response to minimize costly bridge calls and ensure compliance with strict FAA audits and compensation mandates.

BigPanda safeguards airlines with agentic ITOps

BigPanda unifies multi-source IT data, breaks down silos, and automates incident response to ensure uninterrupted flight operations and seamless passenger experiences.

By unifying fragmented systems, including core reservation mainframes, crew scheduling apps, and complex baggage handling networks into a centralized view, BigPanda improves the utility of existing observability tools. This comprehensive visibility enables proactive issue detection and rapid resolution. Last year, a major U.S. airline used BigPanda to save $42 million by avoiding delayed flights and cancellations through faster incident resolution.

BigPanda AI Detection and Response ensures the uptime of critical airline applications and services by automating L1 operations and preventing incidents from escalating. A major airline saved $11.3 million in annual labor costs by automating L1 workflows. Triage agents gather and analyze critical context across the digital passenger journey, spanning check-in kiosks, gate readers, and in-flight connectivity. The triage agent generates a unified incident summary and suggested actions for L1 teams, enabling them to fix failures before they result in gate holds or cancelled flights. This minimizes costly escalations that could disrupt ancillary revenue streams and maximizes service uptime.

BigPanda AI Incident Assistant automates collaboration during major incidents, helping prevent costly “crew timeouts” and regulatory penalties. BigPanda agentically investigates the incident across flight ops, maintenance, crew scheduling, and customer-facing services to surface the probable root cause. Only the necessary groups are called to bridge calls with the incident investigation results, ensuring airlines recover quickly before delays trigger DOT audits or passenger compensation mandates.

BigPanda AI Incident Prevention enables fast, reliable implementation for digital initiatives by proactively preventing repeat and change-related incidents. BigPanda analyzes change data against real-time operational topology to assess the risk of every code push. This creates a data-driven safety net, allowing airlines to modernize legacy infrastructure without compromising the safety-first reliability required to protect critical flight operations.

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