Measuring ROI from video-verified security alarms
Most security ROI material has the same shape: a large percentage, an unnamed customer, and no method. It is unusable for a budget case, because the first question anyone competent will ask is “measured how, on what site?”
Here is a method you can actually run, which produces numbers that belong to you.
Start by measuring the current state
You cannot show an improvement without a baseline, and the baseline has to be taken before anything changes. For two to four normal weeks, record:
Event volume. How many alerts does the current setup produce, per night, per area? Count them, do not estimate.
Review rate. How many were actually opened by a person? This is usually the most uncomfortable number and the most important one.
Action rate. How many needed any response at all?
Time to footage. When an event or incident needed the video, how long from “we need it” to “it is on screen”? Time a handful properly with a stopwatch rather than recalling it.
Operator minutes per reviewed event. From opening it to deciding.
Investigation preparation time. For a real incident, how long to assemble a clip, stills and a timeline someone else can read.
Four of those six are free to collect and take one person a few minutes a day.
The three places value actually comes from
1. Operator time
The most defensible of the three, because every term is measured rather than assumed.
Minutes saved per event
× events reviewed per period
× your loaded labour rate
Use your loaded rate, agreed with whoever owns the budget. Count only events that were genuinely being reviewed before — time “saved” on events nobody was opening is not a saving, it is a correction.
2. Response efficiency
If a verified event prevents an unnecessary call-out, guard dispatch or key-holder visit, that has a price you already know, because you are already paying it. Count avoided dispatches over the pilot and multiply by your actual per-call-out cost.
This is often larger than the time saving and easier to evidence, because dispatch costs are already invoiced.
3. Incident exposure
The one to handle most carefully. You can model what a class of incident costs you — loss, downtime, disruption — using your own figures and your own assumptions. What you cannot do is claim a prevention rate. Nobody can tell you how many incidents did not happen.
Keep this as a separate, clearly-labelled scenario in the business case, built on assumptions the budget holder supplies. A case that overreaches here loses credibility for the two sections that were solid.
What not to put in the business case
Published percentages. Measured on another estate, with other cameras, other naming conventions, other staffing. They do not transfer, and a sharp reviewer knows it.
Guaranteed prevention. No video system can promise an incident will not occur. Any vendor language implying otherwise should be struck from your internal document before it damages your own credibility.
Insurance savings, unless your insurer has said so in writing. Ask them specifically before it goes in a spreadsheet.
Headcount reduction, unless you genuinely intend it. Most teams redeploy the time rather than remove the person, and claiming the latter when you mean the former will be noticed at the first review.
The measures worth tracking afterwards
Once the system is in, these five tell you whether the value is real and holding:
| Measure | What it tells you |
|---|---|
| Median time from alarm to relevant footage | The core workflow improvement |
| Proportion of events opened by a person | Whether the queue is still being worked |
| Events needing a response | The signal-to-noise ratio, trending |
| Operator minutes per reviewed event | Where the time actually went |
| Evidence-pack assembly time | Investigation and audit cost |
Watch the second one most closely. If the proportion opened starts falling, the queue is drifting back toward unworkable, whatever the other numbers say — and the fix is cutting volume, not adding capability.
A realistic timeline
- Weeks 1–3: baseline, before anything is installed.
- Weeks 4–5: deploy on a bounded scope — two or three areas, not the whole site.
- Weeks 6–9: run, tune against real volume, re-measure the same six numbers.
- Week 10: write the case using your own before-and-after figures.
Ten weeks is also roughly how long it takes to find out whether your cameras can carry what you want, which is the other question the exercise answers.
The honest framing
Video verification does not prevent incidents. It shortens the distance between something happening and someone understanding it, and it makes the record of what happened easier to produce afterwards. Those are real, measurable operational goods.
A business case built on exactly that — with your numbers, taken on your site — will survive scrutiny. One built on a vendor’s percentage will not.
Also worth reading
Physical security for data centers: access and perimeter events
Data centers have complete access logs and no picture to go with them. Here is how access events, secure-area presence and perimeter activity fit into one reviewable workflow.
Perimeter intrusion alerts: from detection to video review
A boundary alarm tells you a line was crossed. It cannot tell you by what. Here is how the detection, the camera view and the response fit together — and where it fails.
How to reduce the time spent searching CCTV footage
Most of the time spent on an incident goes into finding the footage, not watching it. Here is what actually shortens that — and what to be sceptical of.
AI surveillance and analytics are technology-assisted and do not guarantee prevention or detection of every security incident or 100% accuracy.