Real-World AI Video Case Studies With Proven ROI
Every one of these deployments started with a problem someone was already paying for: theft they absorbed, hours they could not account for, or a site nobody could watch after closing. Each case study below documents what changed once AI video supervision was added — what was detected, and what it replaced. No pilots, no projections. Four live operating environments.
Copper Theft and Bay Misuse at Unstaffed EV Chargers
EV charging sites are valuable, unstaffed and often unlit, which makes them a standing target for copper and cable theft. Operators also lose revenue to bays occupied by drivers who are not charging at all. Both problems stay invisible until someone reviews footage after the fact — by which point the cable is gone and the bay has turned over.
Finding the Hours Nobody Could Account For
Most operations know their labor cost precisely and their labor use barely at all. Time disappears into waiting, rework, idle equipment and process gaps that no timesheet captures — because nobody is standing there watching, and if they were, that would be its own cost.
Accountability in a Facility That is Open More Than It is Staffed
Gyms increasingly run extended or 24-hour access with minimal staff on site. That model only works if you can answer the questions that come up when nobody is there: who came in on whose credential, what happened in an unattended area, and whether an incident is a member complaint or a liability claim.
Stopping Illegal Dumping Before the Cleanup Bill
Illegal dumping is a repeat offence at known locations, and the cost lands entirely on the property owner: removal, disposal, and sometimes fines for waste they did not generate. Cameras that only record hand you a cleanup receipt and unusable footage. What owners need is to know while it is happening, with evidence good enough to act on.
One Monthly Payment Instead of a Capital Project
What these deployments have in common is not only what the AI caught. It is how they were bought.
Hardware, software and remote management are bundled into a single monthly payment. There is no server to purchase, no capital request to defend, and no refresh cliff three to five years out when the recorder reaches end of life. The cost sits in the operating budget, scales with the number of sites, and the people who actually run those sites are usually able to approve it themselves.
For the partner, the same shift converts a one-time sale into recurring platform and service revenue, which is what makes it worth staying close to the account after the install is finished.
The numbers above are what the platform makes possible. Here is how you sell it.
Frequently Asked Questions
What it is
Four documented live deployments of AI video supervision — no pilots, no projections. Each started from a problem the owner was already paying for, and each records what changed once supervision was added.
What the case studies show
EV charging: copper and cable theft at unstaffed, unlit stations, plus bays occupied by vehicles not charging — caught while it is happening. 3PL: the labor hours nobody could account for — waiting, rework, idle equipment no timesheet captures. A gym on extended hours with minimal staff: who entered on whose credential and what happened unattended, with $150K saved per the case study. Property owners: knowing about illegal dumping while it happens, with evidence good enough to act on.
Who it's for
Owners with theft they have been absorbing, hours they cannot account for, or a site nobody can watch after closing — who want documented results from live environments before committing.