Industry Solutions
By Sagar Shankaran, Founder of CallSphere
How a security guard company proves AI paid for itself: map the open-shift callout, take a 30-day baseline, and track overtime as a share of billed hours.
Key takeaways
The phone on the staffing desk lights up at 4:47 in the morning. It is the officer who holds the 0600 to 1400 post at the distribution center off the interstate — the one the client calls the Sunrise post because the dock supervisors show up at 5:45 and want the gate arm already open. His kid is sick. He is not coming. Your staffing coordinator, who started her shift at 4:00 precisely because this happens most mornings, now has 73 minutes to put a licensed body in a uniform at that gate.
She knows what she will do, because she does it four or five times a week. She scrolls the roster in TrackTik or eHub, finds three names who have worked that account, and calls them in order of who picks up. The one who picks up has already worked 38 hours this week. She sends him anyway. That shift bills at the contract rate and pays at time and a half, and the difference comes out of an account margin that was 26 percent when you bid it.
Ask most guard company owners what an open-shift callout costs them and you get a shrug and a number that is really a feeling. That is the actual problem. Deloitte's State of AI in the Enterprise 2026 found that 84 percent of organizations investing in AI report positive returns, and the companies in that 84 percent are not the ones who bought the most impressive software. They are the ones who picked a single messy process, wrote down what it costs today, put a human in the middle of the new version, and then compared the two. Scope small, measure first, widen later.
For a contract security company, the callout is that process. It is high volume, it happens at a predictable and terrible hour, it has a hard dollar consequence in the overtime line, and it produces a paper trail you can count. It is also the process where your best operations person spends her judgment on something a machine could shortlist.
A callout agent in a guard company is software that takes the officer's call-out, searches your schedule for people who are licensed for that post, trained on that site, and not about to cross into overtime, and hands your staffing coordinator a ranked short list to approve — it never assigns anyone by itself. That last clause is the whole reason it works, and it is the part vendors keep leaving out.
Today the sequence is manual and it is mostly memory. She checks whether the site requires anything special — some accounts want an officer who has done the site's fire-panel walkthrough, some want an officer the client has met, one of your hospital accounts will not accept anyone who has not sat through their badge orientation. She checks the guard card or Class D expiration in her head or in a spreadsheet nobody has updated since March. She checks nothing at all about overtime because there is no time to check overtime at 4:52 in the morning.
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Then there is the workaround everyone in this trade pretends is fine: the field supervisor covers the post. He is on salary, so it feels free. It is not free. While he is standing at a gate for eight hours he is not doing site inspections, not doing the client walk at the mall account, not signing off pass-downs, and not spotting the officer at the construction site who has been logging identical patrol reports for eleven nights.
Before you switch on a single piece of software, run a month of baseline. This is the step that separates the companies that can prove a return from the ones that argue about it. For thirty days, log six fields for every open shift: the time the callout came in, the account and post, minutes from callout to a confirmed replacement, whether the replacement went into overtime, whether a field supervisor covered, and whether any portion of the post went unmanned and got credited back to the client.
Six columns in a spreadsheet. Your coordinator will hate you for two weeks. At the end of it you will have the only number that ends the argument in a guard company: overtime hours as a share of total billed hours, alongside minutes-to-fill and monthly unmanned-post credits. Everything after that is a before-and-after comparison, not a sales pitch.
flowchart TD
A["Officer calls out at 4:47am for the 0600 post"] --> B["Agent pulls the open shift from the schedule"]
B --> C{"Anyone licensed and site-trained for this post?"}
C -->|No| D["Flagged for the field supervisor to cover"]
C -->|Yes| E["Agent ranks 5 officers by hours until overtime"]
E --> F["Staffing coordinator approves one name"]
D --> F
F --> G["Officer texted, post orders sent, client notified"]
4:47 a.m. The officer calls the after-hours line. The agent takes the callout, confirms the account and the post, and logs it as an open shift against the correct schedule line rather than a note in someone's text messages.
4:48 a.m. It reads the roster the way your coordinator would if she had twenty minutes instead of three: who is card-current through the end of that shift, who has worked that specific post in the last 90 days, who is at 32 hours this week and who is at 38, who lives within a reasonable drive of an industrial park at 5:30 in the morning.
4:49 a.m. Your coordinator opens a message with five names, each with the hours-worked figure and the license expiration date next to it, and a one-line note saying the top two would stay under 40. She picks one. She is still the person who knows that the third name on the list had a run-in with that dock supervisor in February, and she skips him. The agent sends the text, attaches the post orders for that site, and drops a line into the client's morning email so the account manager is not blindsided at 8:00.
The coordinator's job did not disappear. Her thirty minutes of scrolling and dialing turned into four minutes of judgment, which is the part you actually pay her for.
These are illustrative figures for a mid-sized regional company. Substitute your own from the clipboard month.
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| Assumption | Before | After |
|---|---|---|
| Billed hours per week | 6,800 | 6,800 |
| Overtime share of billed hours | 9.0% (612 hrs) | 7.5% (510 hrs) |
| Overtime premium (half of a $19 base rate) | $9.50/hr | $9.50/hr |
| Weekly premium cost | $5,814 | $4,845 |
| Coordinator time on callouts | 12.5 hrs/week | 4 hrs/week |
| Unmanned-post credits to clients | $672/month | $336/month |
Overtime premium saved: $969 a week, about $50,400 a year. Coordinator hours recovered: 8.5 a week at a loaded $26, about $11,500 a year. Credits avoided: about $4,000 a year. Total near $66,000 against software around $900 a month plus setup — call it $12,000 in year one. The ratio will be different at your company. What matters is that every line came off the clipboard, so when your operations manager says the savings were seasonal, you can pull the month and settle it.
The agent should not assign anyone. Not once, not on the easy posts, not at 3 a.m. A name goes on a post because a human with a license behind it said so, and in a business where an unlicensed officer on a site can put your agency license and your general liability coverage in play, that is not a philosophical position.
It also cannot read a client relationship. It does not know that the property manager at the medical office building asked you quietly to stop sending the officer who parks in the doctors' spots. It does not know that the officer at the top of the list just came off a bereavement week. And it will be wrong about license status exactly as often as your records are wrong — if guard card and Class G expiration dates are not clean in TrackTik, WinTeam or wherever you keep them, cleaning those records is the actual first project, and it is worth doing whether or not you ever buy anything.
Expect one full payroll cycle of noise and then a readable trend by the second month. Overtime in this trade is seasonal — holiday retail coverage in November and December, storm-watch work along the Gulf and Southeast from June through November, summer construction sites — so compare the same month against last year as well as against the prior month, or you will fool yourself in both directions.
No, and you should not try. The scheduling and billing system stays where it is. The agent reads from it and writes a proposal back; the assignment still happens in your system of record so payroll and invoicing do not drift. If a vendor tells you their agent needs to become your scheduler, you are being sold a migration, not a callout fix.
Partly. The rules that live only in her head — the client bans, the officer who cannot work the north gate, the account that wants a supervisor on Sundays — are real and they are not written down anywhere. That is why she approves the list instead of the software sending the text. Over a few months, most of those rules end up written down for the first time, which is a benefit that shows up long after the pilot.
One account, one shift band, thirty days of clipboard. Pick your worst callout account — usually a 24-hour industrial or logistics site — and measure it before you shop. If the numbers turn out small, you have saved yourself a purchase, and that is a real outcome too.
If your callouts and your client emergencies come in on the same after-hours line, the intake half of this is worth looking at on its own. CallSphere builds AI voice and chat agents that answer business phone lines and web chat around the clock, take the details, and pass a structured record to whoever needs to act on it — so a 4:47 a.m. callout arrives as an open shift with the account, post and reason attached, instead of a voicemail your coordinator finds at 5:20.
Written by
Sagar Shankaran· Founder, CallSphere
LinkedInSagar Shankaran is the founder of CallSphere, where he builds production AI voice and chat agents deployed across healthcare, hospitality, real estate, and home services. He writes about agentic AI, LLM engineering, and shipping voice agents that handle real calls in production.
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