PA Consulting, the London consultancy, builds and sells aviation AI with clients, including Deep Turnaround, Schiphol's computer-vision system that predicts aircraft turnaround times.
Founded in 1943 with 5,001 to 10,000 staff, it is implementation and commercial partner for Deep Turnaround, which Schiphol Group owns. It also launched Optima, which plans engine shop visits, with DecisionBrain and TGIS Aviation in 2024, and works with Jacobs on Dallas/Fort Worth's digital transformation.
Deep Turnaround has run at more than half of the gates at Amsterdam Schiphol (AMS) since 2023, with a reported 3.6 per cent improvement in on-time performance, and Eindhoven (EIN) piloted it in summer 2026.
Aviation AI deployments and updates
01 / Reported · unverified
Jacobs and PA Consulting digital-transformation engagement at Dallas Fort Worth, selected October 2025
Dallas Fort Worth International Airport selected Jacobs and PA Consulting for a digital transformation engagement, the two companies announced in separate releases on 15 October 2025. Jacobs says the work will apply artificial intelligence, machine learning and data analytics to support predictive decision-making across the entire asset lifecycle. PA Consulting's release describes the work as a digital advisory engagement.
The two releases describe one announcement, and neither gives a contract value, term or start date. No DFW board item or signed contract had been found as of 16 October 2026, and the record would move on a DFW board action or a first published deliverable.
A tech-enabled service combining digital twin technology, PA Consulting aviation expertise, DecisionBrain decision intelligence, and TGIS Aviation powerplant management expertise to optimize aircraft engine maintenance across fleet management, contract terms, and engine retirement strategies.
The problem it addresses
Reduces total aircraft engine life costs for airlines by holistically optimising maintenance planning across billions of potential maintenance combinations, operational scenarios, and contractual constraints - beyond what mainstream tools can handle.
Key features
Advanced digital twin technology assessing billions of maintenance combinations
Long-term fleet plan evolution aligned to real-world conditions
Shop visit planning and scheduling optimisation
Life Limited Parts and spare engine utilisation minimisation
2 more features
Lease return condition and financial compensation optimisation
Fleet retirement and introduction strategy modelling
An AI-driven tool that brings together multiple data sources to monitor and predict aircraft turnaround performance in real time. Developed in collaboration with Amsterdam Airport Schiphol, it uncovers opportunities to reduce last-minute gate changes and associated delays.
The problem it addresses
Reduces aircraft turnaround delays and last-minute gate changes by providing AI-powered real-time monitoring and prediction of turnaround performance across baggage, refuelling, catering, and cleaning activities.
Key features
Multi-data-source integration for turnaround monitoring
Real-time turnaround performance prediction
Identification of gate change risk reduction opportunities
An AI and data solution that uses passenger data to dynamically manage passenger flow from airport lounges to gates, preventing bottlenecks and reducing crowding-related risks and delays.
The problem it addresses
Addresses the persistent operational challenge of late-boarding passengers by using AI to optimise the timing and flow of passenger calls to departure gates, reducing delays and overcrowding.
Key features
Passenger data-driven gate call timing
Real-time passenger location and density monitoring
Delay risk mitigation through dynamic flow management
Retail revenue linkage through passenger movement data
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