How AI Supports Real-Time Decision-Making in Saudi Arabia's Airports and Ports

Saudi Arabia is shifting from building standalone infrastructure to embedding operational intelligence across airports, ports and logistics corridors, a transition that promises improved real‑time decision‑making and measurable economic returns. Bilal Abu‑Ghazaleh, founder and CEO of 1001 — a startup that recently raised $30 million in a Series A round — argues that the next phase of value will come from how infrastructure assets operate together as an integrated system rather than from capacity expansion alone.

"Building an airport, a port, or a logistics corridor gives you capacity, but it does not automatically ensure the best use of it," Abu‑Ghazaleh said. "A larger asset does not manage itself more efficiently. Instead, it creates a greater number of decisions that must be made correctly."

Abu‑Ghazaleh outlined why artificial intelligence is being positioned as part of the operational equation in new Saudi projects such as King Salman International Airport and expanded port and rail networks. He said every additional terminal, berth or corridor introduces "thousands of new connections between things that influence one another," creating interdependencies that humans — no matter how experienced — struggle to manage in real time.

At the heart of 1001's approach is what Abu‑Ghazaleh calls a "living operational model": a dynamic digital map that continuously captures assets, processes, business rules and their relationships to provide a single, comprehensive view of operations. The company embeds engineers within client teams to map workflows and data flows, identify highest‑value operational challenges, and select the first use case most likely to deliver measurable impact.

• Practical gains: Abu‑Ghazaleh said once the foundational model is built, subsequent applications can be deployed much faster — implementation time can fall from about 16 weeks to roughly four weeks.
• Economic impact: He estimated a single use case can generate more than $100 million in value during its first year.
• Use‑case focus: Benefits vary by asset — from capacity utilization at airlines and disruption management at ports such as Jeddah Islamic Port to optimized cargo flows and reduced energy consumption.

Abu‑Ghazaleh cautioned that the hardest problems at airports and ports are coordination problems rather than simple capacity shortfalls. "The hardest problems in airports and ports are not capacity problems. They are coordination problems," he said, pointing to fragmented data across transportation, warehousing, enterprise resource planning, customs and maintenance systems as the core issue.

He contrasted Saudi Arabia's opportunity with scenarios in which countries try to "bolt artificial intelligence onto legacy systems." Because many Saudi projects are newly designed, intelligence can be embedded from the outset, he argued, reducing the friction and integration costs often associated with retrofitting older infrastructure.

Operational AI in critical infrastructure, Abu‑Ghazaleh said, still requires human oversight and governance: explainability, auditability and a record of every decision are non‑negotiable. As investments shift toward integrated performance, the combination of living operational models, embedded engineering teams and AI-driven decision support aims to turn capacity into continuous, resilient performance across airports, ports and connected logistics networks.