An AI video product, built inside the business.
An AI video product shipped end to end into the service centers of an auto dealership group.
The problem
When a customer brings a car in for service, the technician often finds more work the car needs: worn brake pads, a leak, a tire near the end of its life. Whether the customer says yes usually comes down to trust, and the industry already knew the answer: show the customer a video of what the technician found, and far more of them say yes. This dealership group believed in the idea and still couldn't make it happen. Technicians were shy on camera, and narrating a video cost them time they didn't have, so the videos simply didn't get made. A previous vendor's tool had failed outright because it added steps to their day. The group had never filmed a single video.
What we built
An AI video solution that eliminated the need for technicians to make the video themselves. They point a phone at the car for a short walkaround, and the AI does the rest: the narration, so nobody has to speak on camera, plus the editing, packaging and delivery. A custom integration inside the software the service team already used lets staff text the finished video to the customer in one click, with a live dashboard showing which cars have a video and which don't.
The previous tool failed because it added work. This one removed it. A group that had never produced a single video reached 100% technician participation within days of full launch.
How it runs today
Measured across five months and several thousand repairs from the client's own records: when customers get a video, they approve the recommended services 30% more often, and repairs with a video bring in 45% more revenue than repairs without, a result that held at 99.9% statistical significance. The incumbent video vendors in this industry advertise around a 20% lift.
The AI doesn't film anything: technicians still shoot the short walkaround, which is why it had to add zero work to their day. The gains show up on repairs the customer pays for themselves, not work covered under warranty, and the comparison was checked to make sure it wasn't cherry-picked.
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You leave with a roadmap: what your stack returns, where AI pays, what to do first. Keep it either way.