How Fully Managed Drone Operations Perform in the Field: What Jake Shild Covered at GSX 2026
On Monday, September 14, LandSkyAI Founder and CEO Jake Shild took the stage at the Georgia World Congress Center in Atlanta for one of the education sessions at the Global Security Exchange 2026. The title of his 45-minute session was "How Fully Managed Drone Operations Perform in the Field." Presentation ID 540-494. Room B315. 11:15 AM.
No prior drone experience required.
That last note wasn't a throwaway line. It was the point. Jake's session wasn't built for engineers or drone enthusiasts. It was built for the security directors, facility managers, and enterprise decision-makers sitting in the room who are evaluating drone security as a real operational investment and want to understand what it actually takes to get it working across different kinds of sites.
The fully managed drone operations model is the answer Jake gave them. Here's what he covered.
The Demo-to-Deployment Gap That Explains Why Fully Managed Drone Operations Exist
Jake opened with a founding story that cuts straight to the problem LandSkyAI was built to solve.
When automated drone-in-a-box systems first appeared on the market, the premise was compelling: autonomous aerial patrols, sensor-triggered response, continuous coverage without a pilot standing on-site. For anyone evaluating physical security programs, that sounded like the next major advance.
Then companies tried to deploy them.
Moving from a demonstration to an actual operational deployment exposed a problem that the hardware vendors weren't solving. There was nothing between the hardware and the security outcome. The drone-in-a-box could fly. But who was planning the patrol routes? Who held the FAA waivers? Who was monitoring the live feed at 2 AM? Who scheduled the maintenance visit when a component flagged a warning? Who integrated the drone system with the existing alarm infrastructure on site? Who produced the security reports?
Nobody.
The gap wasn't in the hardware. It was in the operational layer that sits between a drone taking off and a security program actually running. That gap is why LandSkyAI exists. The industry, Jake argued, doesn't need another drone company. It needs the operational infrastructure that makes drone systems perform in the field the way they perform in demonstrations.
LandSkyAI has crossed 100,000 BVLOS drone flights. That number isn't a headline statistic. It's the operational history of what happens when you build the layer between the hardware and the outcome and run it across real facilities, day after day, in real security conditions.
What Fully Managed Means: Five Hurdles Removed
The session's first major section laid out the five operational hurdles that stop drone-in-a-box systems from delivering in the field, and how the fully managed model removes each one.
Integration hurdles. A drone system that can't communicate with the existing alarm infrastructure on a client site is a standalone tool, not a security program. Integration means connecting the drone's response triggers to the site's existing sensor network so that an alarm event launches an aerial response automatically, without a human in the loop for every dispatch decision. Getting that integration right requires site survey, system configuration, and ongoing management as the site's infrastructure changes.
High pilot failure rates. Operating a drone security program requires licensed remote pilots. Licensed remote pilots are difficult to recruit, expensive to retain, and need to maintain currency with FAA requirements. A security program that depends on finding and keeping qualified pilots in a tight labor market is fragile. The fully managed model absorbs the pilot function entirely: LandSkyAI's remote operations team holds the licenses, maintains the currency, and operates the aircraft. The client's security team doesn't hire pilots or manage their schedules.
Waiver complexity. BVLOS operations, which allow drones to fly beyond the visual line of sight of a pilot, require FAA authorization that most operators can't obtain. The waiver process is rigorous, the safety record requirements are stringent, and the documentation burden is ongoing. LandSkyAI holds the BVLOS authorizations. That's not a service add-on. It's the operational prerequisite that makes autonomous overnight drone patrol legally viable.
Operational burden. Without a managed program, the security director's team owns everything: patrol route programming, alert triage, incident documentation, system updates, hardware maintenance, and compliance reporting. That operational burden is often what breaks drone deployments in practice. The technology works. The team that was supposed to manage it alongside everything else they're already doing doesn't have the capacity. Fully managed means that burden transfers to LandSkyAI's team.
ROI uncertainty. A drone system that runs inconsistently, produces inconsistent data, and requires frequent attention from the client's team is hard to justify at renewal time. The output of a fully managed program, consistent coverage hours, verified detection data, and documented response records, is what makes the ROI case defensible.
Remove those five hurdles, and what you get is faster visual verification, stronger situational awareness, less burden on internal teams, better reporting and documentation, and consistent 24/7 coverage. That's the performance difference Jake's session quantified across three real-world deployments.
The Ecosystem Behind Every Flight
The second major section of the session covered the six-service operational ecosystem that runs behind every LandSkyAI flight. This is the infrastructure that makes fully managed real rather than just a positioning statement.
The six pillars are: Install Support and Training, Mapping and Site Survey, Patrol Planning and Programming, Remote Piloting and Waivers, Preventative Maintenance and Support, and Analytics and Reporting.
What makes these six services a managed program rather than a service menu is how they connect. Site survey informs patrol planning. Patrol planning determines what the remote pilots are executing and what the analytics are measuring. Analytics feed back into patrol planning when coverage patterns need adjustment. Maintenance keeps the hardware running so the pilots have reliable aircraft. Support runs through all of it.
In an unmanaged deployment, the client's team has to coordinate all of that themselves, often learning how as they go, with no existing institutional knowledge about how the specific site performs in different conditions. In a fully managed program, that coordination happens on LandSkyAI's side. The client sees the security output. The operational infrastructure that produces it runs behind the scenes.
The Response Timeline: Fully Managed, Human-Led
The third section of the session addressed the specific response performance that fully managed drone operations deliver. Jake walked the room through the response sequence and the coverage that each minute of response time produces.
From the moment a sensor trigger launches an autonomous response, the drone covers 700 feet in the first minute. At two minutes, it's reached 1,400 feet from the dock. At three minutes, 2,000 feet of coverage area has been surveilled from the air, with live video streaming to the remote operations center throughout.
The sequence that produces that response is: automated patrol, AI detection, operator verification, instant alert, police dispatch.
The operator verification step is the part of the sequence that fully managed handles differently from a hardware-only deployment. AI detection flags the anomaly. A trained human operator in LandSkyAI's remote operations center verifies it before an alert goes out. That verification step is what separates a system that generates credible incident alerts from one that floods the client's security team with false positives until they stop responding.
Fully managed, human-led. Every response fast and effective. That was the line Jake used in the deck, and the session's field data was built to back it up.
Three Industries, Three Deployments, One Managed Solution
The final and longest section of the session covered three real deployments, each representing a different security environment, each demonstrating how the managed model performs in conditions the demonstration environment doesn't replicate.
Industrial Facilities, Michigan. The first case study covered a high-volume industrial facility where LandSkyAI integrated the drone system directly with the site's existing alarm triggers. The deployment logged more than 7,400 total flights and more than 585 hours of total flight time. Alarm triggers were answered automatically, with no manual dispatch required for every response. Consistent aerial coverage ran across a high-volume operation, day after day, without disrupting the facility's operational tempo. What made it work: flying at scale with full integration between the drone system and the site's existing security infrastructure, cutting the time from alert to aerial verification to under three minutes.
UHNW Estates, Costa Rica. The second case study covered a luxury property deployment where the security requirement extended well beyond standard perimeter monitoring. The deployment logged more than 5,800 total flights and more than 800 hours of total flight time. Across those flights, the system tracked construction progress with recurring aerial site reports, inspected solar panel arrays for damage, and deterred unauthorized watercraft approaching the coastline. The managed program ran a white-glove operational approach tailored to the property's specific security and asset monitoring requirements, covering security, construction oversight, infrastructure inspection, and perimeter monitoring from a single aerial operation. That combination of use cases, running continuously from one managed platform, reflects what the fully managed model makes possible at a complex site.
Large Events, Chicago Marathon. The third case study was the Bank of America Chicago Marathon, a Level 1 public reference. The deployment used a single tethered drone that flew for more than 10 continuous hours, from before sunrise through late afternoon, with zero coverage gaps. The live aerial feed ran throughout, giving the ground security team continuous overhead situational awareness across the course, the crowd, and the surrounding area. During the event, the system flagged an unattended bag, which was investigated and resolved. Operators spotted individuals in restricted zones and coordinated their removal with ground teams. Crowd congestion developing in real time was identified from the aerial feed and routes were adjusted on the spot before the congestion reached a point requiring intervention. The system was tested and airborne on schedule. Trained operators read the feed live. Ground security coordination ran directly through the VirtualGuard operations team throughout the event. Other organizations deploying LandSkyAI's managed drone security include the US Open and Cornell University.
Three very different security environments. One managed operational model, adapted to each. The field data across all three shows the same pattern: more flights, more coverage hours, and consistent response performance when the operational layer is managed rather than delegated to the client's internal team.
What Attendees Took Away From Room B315
The practical implication of Jake's session is the same question it opened with: how do you take a drone-in-a-box system and get the most out of it?
The answer isn't better hardware. It's the operational infrastructure that surrounds the hardware. Site survey that informs patrol planning. Remote pilots who hold the waivers and fly the aircraft. Integration that connects the drone to the site's existing alarm system. Maintenance that keeps the system running. Analytics that document what the system is producing. Human operators who verify detections before alerts go out.
That infrastructure is what LandSkyAI built. The 100,000+ BVLOS flights are what it produced. The deployments across industrial sites, UHNW estates, and major live events are where that operational model proved itself against real conditions.
If you missed the session in Atlanta and want the full conversation, reach out to Jake directly.
Connect with Jake Shild at jake@landsky.ai or schedule a facility assessment with the LandSkyAI team.
Which aspect of fully managed drone operations is most relevant to your program?
The remote piloting and FAA waiver infrastructure
Drone integration with on-site alarm systems
Analytics and reporting on what the system produces
Did you find this article useful? Are you interested in seeing us in action?
MissionControl is LandSkyAI’s ongoing town hall style webinar where you can get to know who we are, what we do, and how we’ve built our autonomous security programs. We also conduct a fully live remote drone demo, every time!
Our next event is on Wednesday, September 30th, 2026
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