The Real Reason One Broken Machine Disrupts an Entire Airport

Queues move, bags get scanned, and passengers eventually make it through. But beneath that surface is a fragile operational layer held together by fragmented systems, manual workarounds, and frontline teams stitching together processes in real time.Anne Marie Pellerin has seen both sides of that system—designing queue segmentation at TSA that improved throughput, and later discovering that when security systems fail, the response is often disconnected, slow, and opaque.This conversation goes beyond passenger experience into something more fundamental: how airports actually recover when critical systems break—and why solving that requires rethinking how data, workflows, and people are connected on the ground.What You’ll LearnSegmenting passengers reduces stress and improves throughput: Separating travelers by experience level can increase efficiency by lowering stress-induced errors at checkpointsAirport operations still rely on fragmented workflows: Many frontline teams use disconnected systems, emails, and even pen-and-paper to manage critical equipmentDowntime creates cascading operational risk: A single equipment failure can lead to long queues, baggage disruptions, or even flight delaysThe real problem is coordination, not detection: Technology for identifying threats has advanced rapidly, but operational orchestration has lagged behindOrchestration layers unlock system-wide visibility: Connecting frontline staff, maintenance teams, and vendors creates shared context and faster resolutionFrontline workers are the missing link in system design: Most tools are not built for the people actually operating equipment day-to-dayAI depends on unified data, not just models: Without a consolidated dataset across systems, predictive analytics and automation remain limitedAutomated escalation can replace manual processes: AI-driven workflows can route issues directly to the right technician with full context, even via voice callsGovernment and regulated sales cycles require long-term thinking: Success in aviation tech depends on patience, trust, and multi-year relationshipsSecurity operations extend beyond airports: The same operational challenges exist in borders, cruise terminals, data centers, and critical infrastructureTime-Stamped Highlights(00:10) Airport Queues as a Design Problem(02:09) TSA’s Checkpoint of the Future Program(03:13) Passenger Segmentation and the Origins of PreCheck(05:01) U.S. vs. European Airport Security Models(07:03) The Hidden Complexity of Security Equipment Management(09:12) How Equipment Failures Disrupt Airport Operations(10:10) Why Airport Systems Remain Fragmented(11:04) Building an Orchestration Layer for Security Operations(13:01) Toward a Unified Operational Control System(14:17) From Government to Startup: Shifting Perspectives(18:41) Navigating Long Sales Cycles in Aviation(22:26) Expanding Beyond Airports Into Other Industries(24:04) What Actually Happens When Equipment Fails(26:40) AI in Security Operations and Failure Detection(29:26) Automated Calls and Real-Time Escalation With AIGuestAnneMarie Pellerin — CEO & Co-Founder, Curie Technologies; Managing Partner & Founder, LAM LHAAnne Marie Pellerin is a former TSA leader who served as Director of Checkpoint of the Future and spent six years as the agency’s representative in Europe. She worked on programs that informed modern checkpoint design and passenger flow, including concepts that influenced TSA PreCheck. She is now co-founder of Curie Technologies, a platform focused on improving operational coordination and uptime for security equipment.LinkedIn: https://www.linkedin.com/in/anne-marie-pellerin-1007038/ Company: https://www.linkedin.com/company/curie-technologies/ About the PodcastThe Travel Tech Podcast features long form conversations with leaders across travel and technology. The show explores how software, data, operations, and distribution come together in real businesses, with an emphasis on tradeoffs, incentives, and lessons that transfer beyond any single company or role.HostAlex Brooker — Founder, Airside LabsAlex is an engineer, technology leader, and founder with deep expertise in mission-critical systems and AI oversight. He leads Airside Labs, an AI business that applies aviation-grade testing and compliance rigor to enterprise AI systems, helping organizations build and test AI agents in regulated environments. Before founding Airside Labs, Alex built and scaled complex software in aviation and safety-critical domains, blending product innovation with disciplined engineering practices. He also invests in early-stage technology ventures and advocates for thoughtful, real-world AI deployment strategies.LinkedIn: https://www.linkedin.com/in/alex-brooker-2280002/🔍 Explore 6,500+ Aviation AI Use Cases. We've catalogued over 6,500 real AI applications across airlines, airports, ATM, MRO, and more into an interactive browser. Filter by sector and see where AI is actually being deployed across aviation: airsidelabs.com/aviation-use-casesBrought To You ByAirside Labs — Airside Labs supports aviation and travel operators with tools to test, deploy, and scale modern data and AI systems in safety-critical environments. Learn more at https://airsidelabs.com.