Conversations at the World Travel and Tourism Council (WTTC) Global Summit in Malta and the World Aviation Festival in Lisbon highlighted a common challenge for aviation: Translating technological progress into coordinated action across the travel ecosystem.
Digital identity, biometrics, AI and airport operations are advancing rapidly. Yet the greatest opportunities increasingly lie in connecting these capabilities to improve outcomes across the passenger journey. Discussions around digital identity underscored two fundamental questions: Is this person who they claim to be, and should they be at this place at this time?
Aviation needs more than data and technology. It needs trusted intelligence that enables organizations to make better decisions and act together.
From Fragmented Journeys to Shared Execution
Airlines have transformed revenue management, network planning and operational control. Airports have modernized infrastructure and passenger processing. Yet passengers experience the combined outcome, not these individual improvements.
Consider a family connecting through a major hub after their inbound flight arrives 25 minutes late. The airline knows the aircraft is behind schedule, the airport has changed the arrival stand, the ground handler is unloading baggage slowly and security can see a growing connection queue.
Each organization holds useful information, but no connected view identifies the family's risk of missing its flight early enough for intervention. The passengers are left navigating the disruption themselves.
The problem is not necessarily one organization's failure. It is an operating model that fragments information and responsibility across the journey.
EUROCONTROL recorded 11.12 million flights across its European network in 2025, 4 percent more than in 2024. Arrival punctuality reached 76.1 percent, while air traffic flow management delays per flight fell by 17 percent, partly reflecting better stakeholder coordination and proactive measures.
With Airports Council International World forecasting global passenger traffic to reach 18.8 billion by 2045, making better use of existing capacity will become increasingly important.
From Shared Information to Coordinated Action
Airport Collaborative Decision Making demonstrates the value of bringing airport operators, airlines, ground handlers and air-traffic management partners together around operational information. At Heathrow, collaborative planning and real-time interventions have also delivered measurable benefits.
However, sharing information is not the same as coordinating action. Organizations must agree who makes decisions, which priorities take precedence and who remains accountable.
A practical model has four stages:
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Sense: Identify signals that could change an operational or passenger outcome, from aircraft status to baggage location and connection risk.
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Decide: Translate shared visibility into decisions through agreed priorities and decision rights.
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Act: Coordinate interventions across organizations, from protecting connections to reallocating resources.
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Learn: Measure outcomes and use findings to improve future decisions and operating procedures.
Trust underpins every stage. Organizations need clear rules for information access, privacy, security and permitted use, not unrestricted data sharing.
Re-design Processes Around Outcomes
A more fundamental question follows: Are organizations digitizing the right processes or simply making existing ones faster?
Digital identity could reduce repeated verification as travelers move through different journey stages, subject to appropriate consent and regulatory requirements.
Baggage illustrates the opportunity: SITA reported that mishandling fell by 23 percent in 2025. Yet, 24 million bags were still mishandled across five billion passenger journeys, at an estimated annual industry cost of USD 6.3 Billion.
Tracking creates value when information triggers action. Can transfer risk be identified early? Does the right team receive the signal? Can someone intervene before a connection is lost?
Technology should enable organizations to remove unnecessary steps and re-design processes around shared outcomes, rather than simply accelerate existing handovers.
AI Must Connect Intelligence
AI can improve decisions within individual organizations. An airline might optimize aircraft recovery, an airport might improve stand allocation and a ground handler might optimize workforce deployment. Each system can perform as designed but the combined outcome may remain suboptimal.
The next phase of aviation transformation must connect these capabilities through interoperable data, common operational definitions and clear governance.
In a safety-critical environment, this also means preserving human judgement and accountability. AI can identify risks, evaluate scenarios and recommend interventions, while accountable people retain responsibility for consequential decisions.
The objective is not centralized control. It is an ecosystem in which organizations understand the wider implications of their decisions and coordinate appropriate responses.
Start With One Shared Outcome
Aviation need not wait for a universal industry platform. Progress can begin with a defined problem involving a manageable number of participants, such as protecting connecting passengers and baggage, improving turnaround predictability or coordinating responses to severe weather.
Each initiative should establish the outcome to improve, the organizations involved, the intelligence required, decision rights and measures of value. Technology, processes and governance must be designed together before the approach is scaled.
A strategic transformation partner with a record of accomplishment in aviation operations can turn ecosystem intelligence into coordinated action and measurable outcomes. Such a partner would bring together strategy, engineering, AI, data, cybersecurity, cloud and operational expertise to connect transformation ambitions with measurable business outcomes.
The Next Advantage Will Be Ecosystem Performance
No airline owns the entire passenger journey, and no airport controls every decision that shapes it. Organizations will retain their commercial interests and regulatory responsibilities. The opportunity is to ensure these boundaries no longer prevent them from acting on a shared understanding of reality.
The next breakthrough will come not necessarily from the most advanced standalone technology, but from the ability to build trust, interoperability and operating discipline across the ecosystem.
with one shared outcome. Prove the value. Then scale the intelligence, trust and operating discipline behind it.
About the Authors
Oliver Nicholls
Senior Vice President, Travel & General Services
Oliver is Senior Vice President – Sales at WNS, focused on driving growth for the Travel Business Unit in Europe. With over 24 years of experience, he advises airlines, travel and hospitality providers, and experience companies on growth strategy, distribution and customer experience transformation.
FAQs
1. How can AI improve airport operations?
AI can help aviation organisations identify operational risks, evaluate scenarios, support resource planning and recommend interventions. Its value increases when insights can be coordinated across airlines, airports and ground handlers, with appropriate human oversight.
2. What is aviation ecosystem intelligence?
Aviation ecosystem intelligence connects data, analytics and operational insights across organisations involved in the passenger journey, helping stakeholders coordinate decisions and actions.
3. How can airlines and airports improve passenger connections?
By combining relevant flight, stand, baggage and security information to identify passengers at risk of missing connections and coordinate appropriate interventions.
4. What is Airport Collaborative Decision-Making (A-CDM)?
A-CDM enables airport operators, airlines, ground handlers and air traffic management partners to share relevant operational information and improve coordination through agreed processes and responsibilities.
5. How can aviation organisations implement AI-driven ecosystem transformation?
Organisations can begin with one measurable operational challenge, identify participating stakeholders and required data, establish decision rights and governance, and evaluate results before scaling.