Assembled from approved scenes
Your team reviews a finite scene library; every video built from it inherits the approval.
Glossary · Governance
Governed personalized video is personalized video that stays under the control of the organization sending it: every video is assembled from scenes that organization's team approved, personalized elements are filled only from fields it allowed, and the same inputs and rules always produce the same video. Generative AI works selectively inside that frame, and the organization can require sign-off.
In regulated industries the question is whether you can stand behind every one of a million versions. Governed personalized video answers that through assembly: each video is composed from a library of scenes your team approved, with personalized elements (text, imagery, voice) filled from fields you allowed. Nobody has to review a million videos; your team reviews the scenes, and every video built from them inherits that approval.
The second property is determinism. Assembly follows your rules, not a prompt, so the same record and the same rules always produce the same video: approved flows replay exactly as approved, and nothing changes unless you change it. Generative AI still plays its part, drafting scenes, translations and variants, but inside that frame, and how strict you make it stays your choice: most regulated teams require sign-off on every scene, and you can also create AI-generated scene variants for parts where compliance matters less.
Your obligations stay yours: your team controls every word and makes the judgement calls. What the system adds is reproducible execution plus a reviewable scene library, measured end to end so every outcome ties back to a scene, a rule and an audience. That is what lets regulated buyers run per-customer video at scale.
Key points
Your team reviews a finite scene library; every video built from it inherits the approval.
The same inputs and rules always produce the same video, so approved flows replay exactly as approved.
AI drafts scenes, translations and variants inside the frame; sign-off is yours to require.
Every outcome ties back to a scene, a rule and an audience.
FAQ
Fully predictable output: the same inputs and rules always produce exactly the same video, with no randomness in what a viewer receives. An approved flow replays exactly as approved, and a change happens only when you make one.
Our system can be used to create controlled, predictable content. What the architecture provides is the raw material: deterministic execution that reproduces any customer's video from their record, a finite scene library your team approved, and telemetry tying every video back to a scene, a rule and an audience.
Generative AI drafts scenes, translations and variants; deterministic rules then decide which approved pieces each customer sees, with text, imagery and voice filled from their record. Whether generated content needs human sign-off before shipping is your setting, not ours: regulated teams typically require it everywhere.
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Tell us your control requirements and we'll show how the approval chain, rules and sign-off fit them, on one of your own messages.
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