AI video governance gives a studio a repeatable way to decide which projects can move forward, who can resolve rights questions, and how the outcome is documented.
Set ownership before choosing tools
Name who owns policy, source asset records, talent relationships, client terms, provider contacts, and production decisions. A single project may cross legal, creative, security, and operations. Each handoff needs an accountable person rather than a shared assumption.
Define which decisions require counsel, a rights holder, an authorized provider, or an internal reviewer. This prevents internal workflow owners from being mistaken for the final authority on questions outside their role.
Create rules at the right level
Some rules apply to every project, such as access controls and prohibited uses. Others depend on a specific person, asset, client, model, region, or campaign. Keep global policy separate from record-specific conditions so teams can see which rule produced a hold.
Use consistent fields and a clear exception process. If a rule cannot be evaluated automatically, send it to a named human reviewer and record the decision. Avoid policy text that claims an outcome without evidence.
Measure process quality
Track time to resolve open questions, repeat missing fields, exception rates, and the number of projects stopped before production. Use aggregated data where possible and do not collect personal information simply because the analytics tool can store it.
Review incidents and near misses to update the policy, forms, and training. A governance framework should change when actual workflow evidence shows that people cannot follow it.
Keep external dependencies visible
A studio's internal policy cannot make an unconnected provider available. Track which provider path is authorized, what it supports, and who owns its configuration. Keep unavailable or unsupported capabilities out of production flows.
Approved.video is intended to help studios and builders bring rights records and upstream review states into their own software. It does not replace governance ownership or the decisions issued by the rights holder, counsel, or provider.
CLARIFICATIONS
Questions & answers
Who should own AI video governance at a studio?
Ownership can be shared across teams, but a named executive or program lead should be accountable for policy and exception routing.