AI video asset management needs more than a folder of files. Teams need to understand what each asset is, who controls it, what evidence supports its use, and which workflow states still need attention.
Model assets and relationships
Treat a person, voice, source image, brand asset, and generated output as distinct records that can be related to a project. Stable IDs help prevent the wrong version from being selected when similar files or names appear in a production library.
Store rights holder, source, evidence reference, scope, restrictions, version, and status alongside the asset metadata. Keep the source document accessible to authorized reviewers without turning the catalog into a public download surface.
Make lifecycle states explicit
An asset may be submitted, prepared, awaiting an upstream decision, approved by a provider, paused, expired, or unavailable. Define the terms, who can change them, and what each state allows in a consuming application.
Expiration and scope changes need an operational consequence. If a record is no longer eligible, the app should make it unavailable for new work and display the reason. A historical audit record can remain while access to the source media is restricted.
Secure the catalog
Apply role-based access to sensitive material and separate client-visible previews from source files. Review export controls, audit staff access, and set retention periods. A catalog should expose only the fields a user needs for their role.
Avoid placing government IDs, raw biometric material, or unnecessary personal information into general metadata. If an identity provider is needed, use its authorized flow and retain only the minimal status required by the application.
Connect asset records to the tools teams use
An API can let a production application request the current status for a particular asset and workflow. Define identifiers and response meanings carefully so the consuming product cannot mistake an unknown state for an approval.
Approved.video's focus is an asset-linked rights layer for studio and app workflows. Integrations determine which records and actions are live; provider approvals and generation results must come from the authorized service.
CLARIFICATIONS
Questions & answers
What is different about AI video asset management?
It must track not only files but also likeness, source rights, consent scope, provider status, restrictions, and relationships to generated outputs.