Drone ROI in Oklahoma City: Patrol Hours and Payback

What is drone ROI in Oklahoma City for a patrol site?

Drone ROI in Oklahoma City, for a security patrol site, is the value of the guard hours a drone takes over, minus what the drone program costs to run. The return does not come from removing a whole post on day one. It comes from the part of the round a drone can fly on a schedule, and from gaps a drone covers when a shift goes unfilled.

The calculator on this page is already set for this city, and it produces a savings range rather than a single number. The range moves with three inputs: the labor hours a drone takes over, the share of that work a drone realistically handles, and the lease payment quoted after a free site assessment. The government wage data for this job appears in the panel beside this text, and the range is built on it.

Our research pass did not confirm a metro level count of security guards for Oklahoma City, so the statewide figures in this article are the closest verified counts. Read the local wage panel and those statewide counts together, and treat the result as a starting estimate until the assessment measures your round.

The return also varies across sites. A small building with a short fence line may justify a drone for a few checks per period, while a large campus with outlying structures gives the air far more work. That is why the calculator asks about the round, not only the floor area.

How does the savings math work for drone patrol?

Start with hours. Count the hours per period that guards spend on work a drone can perform: outdoor perimeter walks, roof and high point checks, and scheduled sweeps of outlying areas. Multiply those hours by the local wage for this job, plus the employer overhead on those hours, to get the labor value of the work a drone could take.

Then apply a realistic share, because not every hour moves. Responding to an alarm that needs a person with authority, checking the inside of buildings, and anything that needs a hand on a door stay with staff. The savings range is the labor value times that share, plus avoided vacancy and turnover costs, minus the lease and the staff time the program still needs.

A simple case shows the logic. If the exterior part of a round takes a fixed block of guard hours each period and the drone takes over most of that block, the gross offset equals that block times the labor value. The rest of the round stays on staff, so the net figure is smaller than the gross offset. The calculator runs this sequence on your inputs.

Payback is the point where net savings across periods cover setup. Setup covers site mapping, flight planning, the regulatory check, and linking drone alerts into your existing monitoring workflow. We did not find a published count of guards per site, so the headcount in this article is a planning assumption of one overnight post, to be confirmed in the assessment.

Which guard tasks can a drone take over?

Patrol work splits into tasks that suit the air and tasks that need a person. Scheduled exterior rounds, high point inspection, and quick checks of outlying structures are the strongest candidates. The table below shows how each task shifts, without hour figures, because our research did not verify typical hours per site for this job.

The hour figures come from your site. In the assessment we time each task on the actual round, record the route and the lighting, and fill in the labor hours the calculator uses. A generic hour count would overstate or understate the return for your building, which is why we do not publish one.

Each drone task has dependencies. A flight needs a clear route, a launch point, a charged battery, and a person to review what the camera captured. When those pieces are missing, the labor offset is smaller than the task list suggests, so the assessment checks each dependency before any hours are counted.

How much does guard turnover add to the return?

Turnover is a large part of the security labor picture. According to the UC Berkeley Labor Center, annual turnover in the security industry reached 89 percent in 2024, against a 66 percent average for the private sector. Each open shift, hire and training cycle carries a cost that does not show up in the hourly wage alone.

Other sources give lower figures, and their methods differ. A vendor blog citing industry data puts US security industry turnover at 50.8 percent in 2023, against 38.4 percent for the overall workforce, but it does not state its method clearly. Do not add these figures together or treat them as the same measure.

Headcount context is also useful. A salary site citing federal wage survey data counted about 12,320 security guards in Oklahoma in May 2024, and a salary data site citing BLS data reported 12,210 for May 2025. A career site citing federal wage survey data counted about 1,241,770 security guards nationally in May 2024.

An older industry article from 2006, citing a union estimate, put guard turnover between 100 and 300 percent. That estimate is dated and should be read as a sign of how high the rate can run, not as a benchmark for today. A drone program does not change the turnover rate, but it can keep rounds running while a seat is empty.

What changes the number up or down?

Three things move the range most: how open and flyable the round is, how often shifts go unfilled, and how the lease is structured. A round with long open perimeters and clear sight lines gives a drone more work to take over. Frequent overtime and open shifts raise the value of keeping rounds covered while seats are empty.

Other inputs push the range down. Dense indoor areas, heavy weather, tight airspace, and rounds that need a person at every door all reduce the share of work a drone takes. The checklist below lists what to verify before you accept a number.

Lease structure matters too. A fixed lease payment gives a steady line in the calculation, while the labor side moves with the schedule and the local wage. Ask the assessment team to model both sides over the same periods, so the comparison is fair rather than lopsided.

Where does a drone beat a guard, and where does it lose?

A drone is better at repeating a route the same way, reaching roofs and high points without a ladder or lift, and not calling in absent. A guard is better at judgment, speaking with people, and responding to a situation that changes minute to minute. Both points belong in the plan.

The honest answer is that a drone program is a labor offset, not a substitute for every guard task. Plan for staff to handle the exceptions a drone flags, and expect the program to show its value in consistency and coverage as much as in hours. Judge the program against both measures, not hours alone.

Where a guard clearly wins, keep the guard. Judgment, calming tense situations, and any response involving a person in distress belong with staff. Writing those lines down before go live keeps a drone from being pushed into work it cannot do.

What are the risks to the return, and how do you avoid them?

The largest regulatory risk is the flight rule set. According to trade press reporting, the FAA's beyond visual line of sight rule, Part 108, was not final as of mid-September 2026, and reporting puts final publication in late 2026 or 2027, with staggered compliance dates. Until it is final, routine beyond visual line of sight flight still requires a Part 107 waiver or a Part 135 certificate.

Vendor-reported results are the second risk. Patrol hour reductions in vendor case studies come from single deployments under particular conditions, and they are not a baseline for your site. Treat them as a question to test against your own rounds, not as a promise.

Third, a drone program that flies without a clear plan can create liability and insurance questions, and a missed alert can be worse than no alert. Set the alert path, escalation rules and coverage limits in writing before go live, and confirm insurance terms with your own broker.

Fourth, the data side can fail. Flight records, images and alert logs are records about a property, so set retention rules and access rights before the first flight, and confirm them with counsel where your policies require it.

What is a realistic timeline from assessment to payback?

The sequence runs in order. The free site assessment comes first, followed by site mapping and flight planning, then the regulatory check and any waiver work. Next come a pilot on part of the round, integration with alarm and monitoring, staff training, and go live with support.

Payback is measured after go live, not at signature. Review the first periods against the rounds you planned, adjust routes and alert rules, and check the labor offset against the hours that actually moved. Payback timing depends most on how long the regulatory check takes.

Build the timeline around the regulatory check rather than the install date. If the full route needs a waiver, a pilot can start on a limited route while the paperwork moves, and the calculator should show a lower share of work until the full route is cleared. The assessment flags this early so the timeline reflects it from the start.

How do you get a precise figure from a free site assessment?

A free site assessment replaces the estimate with your numbers. We walk the round with your security lead, time each task, map open areas and sight lines, note lighting and the regulatory path, and record how often shifts go unfilled. Those inputs drive the lease quote and a savings range for your building, which is the drone ROI in Oklahoma City that matters for your decision.

We are a commercial robot integrator. We pick the drone that fits the site, arrange the lease through financing, deploy and integrate the system with your alarm and monitoring workflow, train your staff, and service the equipment nationwide. The lease payment is quoted after the assessment, so the figure reflects your site, your staffing and your flight rules.

Bring what you already have: the patrol schedule as it runs now, a site map, the alarm workflow, the last year of open shift and overtime records, and any insurance requirements. Missing records do not block the assessment, but they widen the range. A narrower range comes from better inputs, not from a more optimistic assumption.