AI Video Producer
Owns
- Concept-to-variant pipeline
- Synthetic asset production
- Model and tool selection
Does not own
- Final editorial approval
- Media decisions
The situation
The reason to produce with AI is not that it costs less. It is that a concept can be tested in days instead of quarters, in twelve variants instead of one, before anyone commits a budget to a shoot. We use AI where it makes iteration possible, and people where it makes the work good.
What we actually do
- 01
Concept-first: variants differ by hypothesis (hook, offer framing, objection), not by filter or font
- 02
AI used for variant generation, synthetic presenters, product scene composition, localisation and voice — each named, so the buyer knows what is and is not synthetic
- 03
Human editorial pass on every asset; no unsupervised generation reaches an account
- 04
Disclosure discipline: synthetic presenters and generated footage are labelled to the client, and platform disclosure requirements are respected
- 05
Winning AI concepts can be re-produced with live-action when the spend justifies it
Who does it
How it connects
This service underperforms on its own. It is one stage of a loop, and the two practices below are the ones it depends on.
Media
Is the money going to the right place?
Every discipline has a boundary. A Meta Ads specialist does not edit your video. An editor does not set your bidding strategy.
The specialists who do the workTell us what you are building.
Send the site, the ad account, and what is not working. You will get a specialist's read, not a sales deck.