The intelligent airport of the future: an AI-powered air travel ecosystem orchestrator

Airports have begun to evolve from an environment where humans execute processes with technological assistance to one where intelligent systems autonomously operate core functions with human oversight.

The airport of tomorrow is an intelligent one and future airports will transcend the traditional IT and operational technology (OT) infrastructures to become a living digital nervous system. Data and AI will power intelligent (agentic) systems that seamlessly orchestrate operations and passenger experiences, driving sustainable business value across the entire value chain.

In this emerging paradigm, human and digital workers operate as a unified workforce. AI-driven systems analyze vast amounts of diverse data in real-time to continuously orchestrate and optimize the complex flows of people, goods and information into, across and out of the airport. Human workers stay in control through alerts and active monitoring of key parameters, focusing where focus is needed.

In this AI-first model, systems decide and act whenever possible, while humans intervene only when they are needed. Trusting the underlying AI capabilities and the data they consume is paramount. Therefore, establishing an integrated governance program that spans privacy, security, AI and algorithmic systems, data governance, AI model governance and tech ethics will be essential.

This strong data foundation will turn airports into insight hubs. By packaging, distilling, synthesizing and disseminating real-time data and insights for themselves and their ecosystem partners, they will ultimately become single sources of trust.

Airports will play a pivotal role in orchestrating the air travel ecosystem and connecting air with other transportation modes, including rail and road. This coordination will enable the airport and the many ecosystem participants to seamlessly work together. It will deliver pleasurable, safe and frictionless experiences for travelers—and seamless, efficient and sustainable operations for employees, airlines, tenants, governments and other stakeholders.

Airports are progressing from human operations with system assistance to intelligent autonomy with human governance. The first step in this journey is rules-based execution of defined processes. This approach includes self-service check-in or bag drop kiosks with simple “reflex agents” guiding passengers through the check-in procedure. As AI systems develop and earn trust, they gain more capabilities to perceive, decide and act with minimal human intervention.

They gradually become sophisticated AI agents that intelligently orchestrate across multiple systems to achieve a preferred outcome. In flight delays, for example, goal-based agents would assure that gate assignments, turnaround resources and baggage resources are reallocated to ensure that the delay is absorbed with minimal impact.

Future passengers will enjoy touchless processing: no-pause security processing and passive identity detection powered by biometric identification, creating a “borderless” passenger experience. There are many examples of tech making the experience more frictionless for passengers:

• Jakarta Airport has deployed two biometric corridors: wide corridors equipped with AI technology that confirms passengers’ identities while they move, rather than requiring them to stop and manually present documents.
• Miami International Airport has its Enhanced Passenger Processing program, applying biometric “face pods” that verify US passengers’ identities through facial recognition. By comparing a live image of the passenger to existing records, these passengers can go through their entry procedures more quickly.
• Through its One ID program, the International Air Travel Association (IATA) is driving standardization. It is establishing “an ecosystem that is interoperable with various industry parties, airlines, airports and governments, across the world through a safe digital environment”. Its aim is to streamline passenger journey through advanced information sharing and a contactless airport process enabled by biometric identification.

Airside Operations will reap the benefits of intelligent resource allocation: 

• Continuous optimization of gate assignments, stand allocations and ground movement to maximize efficiency of the high-capital cost terminal and minimize energy consumption.
• Amsterdam Airport Schiphol is developing OTISS (Orchestrating Traffic Information System Schiphol) to orchestrate airside traffic encompassing both autonomous and human-driven vehicles. The system ensures “that all vehicles, whether autonomous or human-driven, move in harmony, even in the complex environment of a busy international hub”.
• AI-driven turnaround operations are being deployed or implemented at airports such as Frankfurt Airport and Dubai Airports.

Baggage operations will be able to dynamically optimize baggage handling capacity:

• Situation-aware planning and allocation of baggage handling resources dynamically determines when to load or unload each unit load device (ULD) for each flight and at which location.
• The BOOST program is a collaborative innovation program by Incheon Airport, Avinor, Heathrow, Amsterdam Airport Schiphol and Brussels Airport aimed at improving operational baggage handling efficiency while reducing heavy manual labor.

Terminal operations will contribute to achieving sustainability goals through autonomous environmental control, including continuous optimization of lighting, temperature and ventilation based on occupancy, weather conditions and energy-efficiency goals.

• Delhi Airport: Heating, ventilation and air conditioning (HVAC) system automation.
• Rajiv Gandhi International Airport: Intelligent energy management systems.

IT Operations will drive operational resilience and security through self-healing infrastructure:

• Automatic detection of issues such as server failures or performance degradations.
• Security orchestration, automation and response (SOAR): autonomous handling of security incidents from detection to resolution.

Multiple initiatives exist by which other elements of the (air) travel ecosystem transition to becoming intelligent and semi-autonomous. Examples include the Concept of Operations (CONOPS) for Future Skies, developed by the Complete Air Traffic System (CATS) Global Council. This CATS ConOps “outlines a transformative pathway to achieving a fully integrated, seamless, scalable and sustainable air traffic management (ATM) system by 2045”.

In-time digital information sharing is one of the key foundational capabilities identified in this document and this capability is where the intelligent airport will play its pivotal role as an “insight hub”.

A second example is the European Union’s SESAR-JU program, through which the EU funds a research project called FASTNet, which is aimed at “pioneering advances in new data services. These services will help to fully integrate airport operations into the aviation network, through artificial intelligence (AI) and improved airport-to-airport coordination”.

In order to be able to deploy intelligent capabilities in an integrated fashion at an airport-wide scale, airports must establish a unified data foundation that diminishes current operational silos. A data mesh architecture with federated, domain-oriented data ownership and centralized governance that allows each airport function to maintain their specialized data while contributing to a unified ecosystem.

This integration of previously isolated data streams will enable intelligent capabilities such as real-time operational intelligence and predictive airport operations. These capabilities will drastically improve passenger movement and management, operational efficiency and customer experience.

Getting data from ecosystem partners is always a challenge for airports. For this effort to be successful, airports need to prove to their partners the value in sharing the data and the airport’s trustworthiness as a data governor. Airports that embrace this business-oriented mindset to data partnerships will be more successful in building the necessary data ecosystem.  It will take work, time and a change in airport mindset.  Instead of being ‘entitled’ to airline data, the focus should be on ‘what’s in it for the airlines’.

IT and OT infrastructure must be designed to scale effortlessly without interrupting ongoing operations. This integrated infrastructure must predict and accommodate fluctuations in data and information volumes associated with fluctuating passenger, baggage and cargo volumes. In addition, secure sharing of data and information with ecosystem partners should occur with unchanged latency.

Hybrid cloud technologies must provide the elasticity needed during peak loads, while intelligent automation must ensure continuous and consistent performance across the entire intelligent airport ecosystem, regardless of volumes.

Security of IT, OT and data will serve as a foundational pillar of the intelligent airport ecosystem. Specialized approaches will be needed, including advanced cybersecurity frameworks for IT and OT systems. It will also integrate cybersecurity seamlessly with stringent physical security measures. It embeds this capability from the beginning by design and by default, interconnecting disparate security tools into a cohesive, adaptive ecosystem capable of responding to evolving threats.

Ultimately, airport IT and OT infrastructures will evolve into intelligent, self-managing systems encompassing:

• Quantum-enhanced optimization for complex operational challenges such as dynamic scheduling and sustainable airport-wide resource allocation.
• Secure self-healing systems that predict failures, detect threats and intrusions, automatically implement corrective actions and optimize their own performance.
• Ambient intelligence embedded throughout the physical space, with distributed edge computing enabling real-time processing and response to changing conditions.
• AI-led security combatting AI threats in real time with advanced tools to assist AI and human agents.

The airport’s IT function will evolve to orchestrate the operation of sophisticated autonomous systems across the airport ecosystem. This evolution will enable a continuous sense-and-respond capability that processes inputs as flight data (think of A-CDM), weather, rail and road traffic, while adjusting operations as needed to maintain on-time performance objectives.

The traditional boundaries of the IT department will dissolve as technology capabilities become embedded throughout the organization and IT investments are directly tied to business outcomes, with continuous measurement and optimization.

IT will provide no-code/low-code/vibe-code platforms that enable non-IT professionals to create and deploy their own applications with appropriate governance and security. Moreover, the IT function will orchestrate a broad innovation ecosystem, integrating startups, academic research, value chain partners and technology partners into the airport’s digital fabric.

A successful move toward a state of intelligent autonomy requires a comprehensive approach to workforce transformation that entails:

• Workforce evolution strategy: Development of a long-term strategy that transitions staff from operational execution to system supervision, exception handling and customer experience enhancement.
• Skills transformation program: Implementation of a comprehensive reskilling program that prepares staff for new roles in autonomous system management both for the airport and airport ecosystem employees.
• Change willingness program: Trainings and support to help the team embrace the change versus blocking it.

The strategy must recognize that different airport functions will progress at different rates. Catering for a stratified approach that prioritizes domains based on technical feasibility, regulatory environment and value potential, the roadmap can be divided into three major stages, as detailed in the next sections.

Prioritizing the creation of a solid foundation is paramount before any advanced AI application can be pursued. The foundation should at least contain strong data governance and architecture, an autonomous technology testbed, a digital twin implementation and development of a regulatory framework.

Three themes define the common thread of the scaled implementation:

1.    Autonomous zones: Creation of fully autonomous operational zones within the airport where multiple systems work together with minimal human intervention.

2.    Human-autonomous teaming: Implementation of new operating models where human staff work alongside autonomous systems with clearly defined handoff protocols.

3.    Resilience engineering: Development of systems that ensure autonomous operations can continue safely during disruptions, degraded conditions or emergencies.

Blending deep human airport operations knowledge with cutting-edge technology capabilities to achieve airport-wide orchestration, extension of the autonomous ecosystem beyond the airport and a cross-airport autonomy network: establishment of data and operational protocols enabling autonomous systems to coordinate across multiple airports and other ecosystem partners, creating network-wide optimization, always with humans in the loop.

IBM envisions intelligent airports balancing innovation with human values, reducing human labor dependency while upholding safety, security and sustainability. This approach aims to enhance experiences for all stakeholders while maintaining trust. Thus, the intelligent airport is the result of the seamless integration of technology with human expertise, recognizing that airport complexity requires augmenting human judgment with digital intelligence, not replacing it.

Learn more about IBM solutions for the travel industry