NEOM Bay Airport Digital Strategy
AI-driven operational intelligence for a greenfield international airport.
NEOM Bay Airport was a greenfield build, which meant no legacy systems to integrate around but also no historical data to train initial models. The opportunity was to design an AI-first operational architecture before the airport opened, rather than retrofitting AI into existing infrastructure.
Designed a digital twin architecture for airport operations, covering passenger flow, baggage handling, and airside management. Simulated training data from comparable airports. Defined the measurement framework so real operational data would validate and improve predictions from day one of operations.
Operational intelligence architecture delivered on schedule. Passenger flow prediction models validated against simulation data. Baggage optimisation system reduced projected handling time by 18% in simulation. Zero-legacy architecture became the reference model for future NEOM infrastructure builds.
AI that learns from real operational data in real time applies equally to service businesses tracking customer journey and staff scheduling.
The AI Agent Readiness Audit Workshop applies the same diagnostic logic from enterprise deployments like this one to your marketing operations, in half a day.
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