AI Video Platform Rights Workflow: A Product Map

Map an AI video platform rights workflow across organizations, assets, evidence, talent licenses, upstream review, generation checks, and audit events.

APIs & integrations2 min read
FIELD NOTEAI video platform rights workflow

An AI video platform needs a rights workflow that runs alongside its creative tools. Mapping the entities and decision boundaries early can prevent permission checks from becoming an afterthought.

01

Map the actors and records

List organizations, client users, contributors, assets, rights holders, evidence, terms, requests, provider decisions, generation jobs, and outputs. Define which entity owns each record and how access is scoped to a tenant or client.

The data model should make it possible to trace an output back to the asset and terms version that supported the request. Avoid joining records only by display name, which can be ambiguous across organizations.

02

Draw the decision boundaries

A customer may decide whether its team has provided complete information. A rights holder may set permission. A provider may issue an eligibility or content decision. Each authority should appear as a separate source with its own status.

When a provider is unavailable, the workflow should say so and block actions that depend on it. A local queue should not be described as a submitted request or upstream result.

03

Apply checks at selection and execution

Check scope when an asset is selected so a user receives early feedback. Check again immediately before a sensitive action because terms or account status may change between selection and execution.

Return precise failure reasons and preserve the request context. This helps the UI guide a user without leaking data across organizations or exposing unnecessary internal details.

04

Build an audit path for support

Support and operations teams need a controlled way to see why a request was blocked, which provider responded, and what terms version was checked. Log meaningful events while minimizing sensitive personal data.

Approved.video is intended as the rights and status layer for studios and app builders creating these workflows. Its external actions remain contingent on authorized provider access.

CLARIFICATIONS

Questions & answers

When should an AI video platform check rights?

Check during asset selection for early feedback and revalidate immediately before generation or another sensitive action.