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Netcompany’s Daniel Ezban wonders whether it’s time for major international airports to rethink their operational technology as passenger numbers grow and operational complexity increases.
As demand for air travel grows, technology will play a key role in delivering seamless, reliable experiences in an increasingly complex operating environment.
Modern operations depend on co-ordination with the airlines, ground handlers, security teams, border agencies and air traffic control, each operating within their own systems and processes.
What was once a relatively linear operation has evolved into a highly dynamic, interdependent environment.
Ongoing geopolitical tensions across the Middle East have highlighted just how interconnected and fragile this system can be. Airspace closures, fuel shortages, flight cancellations and last-minute re-routing, have not only disrupted operations within the region, but have created cascading effects across the global aviation network.
Extended flight times, fuel stock availability, crew displacement and aircraft rotation challenges have placed additional strain on already complicated airport environments.
These events reinforce a critical reality: disruption is not localised.
It propagates rapidly across the network, and airports must be able to respond not only to what is happening on-site within their operation, but to what is unfolding across the wider aviation ecosystem in real time.
Many airports are now recognising that the digital infrastructure underpinning these operations has not evolved at the same pace.
Legacy systems were designed for a different era, where the primary challenge was managing and standardising data. Today, the challenge is fundamentally different: enabling fast, co-ordinated action across an increasingly complex ecosystem.
THE LIMITS OF LEGACY AIRPORT SYSTEMS
For decades, the Airport Operational Database (AODB) has been at the centre of airport operations, providing a single, authoritative source of flight data and underpinning processes such as stand allocation, resource planning and flight information display.
That model made sense when the primary challenge was standardising data. Today, the challenge is different. Modern airports operate as complex, fast-moving ecosystems where multiple stakeholders must act in co-ordination in real time.
The issue is no longer how to share information, but how to act on it quickly and consistently across organisational boundaries.
Against this backdrop, the limitations of the traditional AODB have become clear. Built around flight data, constrained in its ability to integrate across the broader ecosystem, and often tied to slow, vendor-driven roadmaps, it struggles to support the dynamic nature of modern operations.
This challenge is compounded by a wider landscape of legacy systems. Critical functions such as stand and gate allocation, passenger flow management and day-of-operations planning are often distributed across multiple, disconnected products with limited upstream and downstream synchronisation.
The result is fragmented data, duplicated processes and reduced visibility. During routine operations this creates inefficiencies; during disruption, the impact is far greater.
Decision-makers can struggle to establish a single, accurate operational picture, slowing response times when they matter most.
More fundamentally, these environments are designed to manage data rather than co-ordinate action. In a world where performance depends on the precise alignment of multiple stakeholders in real time, this creates a critical gap.
SHIFT TOWARDS INTEGRATED OPERATIONAL PLATFORMS AND ORCHESTRATION
To address these challenges, airports are moving toward integrated operational platforms that consolidate data, processes and collaboration into a single operational backbone.
However, this evolution goes beyond integration; it represents a broader shift toward operations orchestration.
Across the industry, terms such as ‘Connected Airport’, ‘Intelligent Airport’ and ‘Total Airport Management’ all point to the same underlying transformation: a move away from fragmented, system-led environments toward a model where operations are co-ordinated end-to-end in real time.
This marks a fundamental change in how airports approach control.
The focus is shifting from sharing information to aligning decisions and executing actions across organisational boundaries.
It is no longer enough to know what is happening; airports must be able to respond collectively and immediately.
A new orchestration layer is emerging to support this model. Sitting above existing systems, it connects and contextualises data from across the airport, provides a cross-domain operational view and enables workflows to be co-ordinated dynamically.
Platforms such as Netcompany’s AIRHART exemplify this approach, bringing together operational data, planning capabilities and collaboration tools into a unified environment. This allows stakeholders to work from a shared operational picture while ensuring that processes are synchronised in real time.
This is not a theoretical shift. Our partnership with Heathrow represents a significant step in modernising the airport’s operational backbone, introducing a more integrated and joined up approach to managing one of the world’s most complex aviation hubs.
Crucially, orchestration does not require wholesale system replacement. Airports can introduce this layer across their existing landscape, unlocking value quickly while reducing risk, and transitioning from system-centric operations to a more flexible, outcome-driven model.
HOW REAL-TIME DATA AND AI ARE CHANGING AIRPORT DECISION-MAKING
The adoption of orchestration platforms is unlocking the full value of real-time data. With a unified, continuously updated operational view, airports can achieve far greater situational awareness across their operations.
Artificial intelligence is accelerating this shift. By analysing large volumes of operational data, AI can identify patterns, anticipate issues and recommend actions before disruptions fully materialise.
In an environment shaped by global connectivity, this capability is increasingly essential. Airports must understand not only what is happening locally, but how external events, such as delayed inbound aircraft, or airspace restrictions, will impact operations.
This enables earlier intervention, more efficient use of capacity and dynamic adjustment of plans as conditions change. The result is a shift from reactive to proactive operations, from understanding what has happened to shaping what happens next.
Rather than replacing human expertise, AI enhances it, providing decision-makers with timely, data-driven insight in complex, fast-moving environments.
WHY COLLABORATION ACROSS ECOSYSTEM MATTERS
As ecosystems, airport operations are inherently collaborative. Every flight depends on multiple stakeholders working in parallel, each contributing to a tightly co-ordinated sequence of events. When this breaks down, delays and inefficiencies escalate quickly.
Orchestration platforms play a critical role by providing a shared operational environment where airlines, airports and ground handlers can align around a single, real-time plan.
This is already being demonstrated at leading European airports. At Copenhagen and Munich for instance the shift toward orchestration-led platforms is translating into tangible operational gains.
By bringing stakeholders into a shared, real-time environment, these airports are breaking down traditional silos and creating more aligned and responsive operations.
The impact is not just improved efficiency, but greater resilience. When disruptions occur, whether local or global, these airports are better equipped to respond quickly, co-ordinate effectively and minimise knock-on effects.
BUILDING RESILIENT DIGITAL INFRASTRUCTURE FOR CRITICAL TRANSPORT HUBS
As critical national infrastructure, airports must prioritise resilience across every layer of their operations. Digital systems need to be secure, scalable and capable of supporting continuous, high-volume activity in a fast-changing environment.
The move toward orchestration enables a more flexible, future-ready architecture.
Rather than relying on rigid, monolithic systems, airports can adopt modular platforms that evolve over time, integrating new capabilities such as AI and automation without disrupting core operations. This ensures airports can adapt to growing complexity and increasing disruption while maintaining stability.