

Airports are under growing pressure to handle more passengers with constrained infrastructure and limited operational flexibility. At Amsterdam Airport Schiphol, technology and AI have become essential to managing these pressures and maintaining efficient operations.
Drawing on insights from Annemijn Schoenmaker and Lennert l’Amie of Royal Schiphol Group, this case study highlights practical AI applications such as computer vision for aircraft turnaround monitoring, predictive tools for security waiting times, and intelligent systems supporting gate planning, workforce safety, and asset management.
This case study is an extract taken from the Airports AI Alliance Playbook: How to Deploy Artificial Intelligence to Transform Airport Operations and also includes the Playbook’s executive summary, providing a first look at its core insights and guidance.
The full Playbook is available for Airports AI Alliance members only.
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The Playbook draws on insights from senior airport leaders at Atlanta, Barbados, Cincinnati, Edmonton, Fraport, Incheon, MAG, Miami, Schiphol, Toronto Pearson, Vienna, Zurich, and others; contributions from technology and strategy experts at AWS, BCG, Bentley Systems, NVIDIA, Wipro, Xovis and Zensors; and real-world case studies demonstrating what successful AI adoption looks like in complex, safety-critical environments.
In the full, 85-page Playbook, you’ll learn:
Become a member of the Airports AI Alliance now to receive access to the complete Playbook.
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