An AI content approval workflow legal will actually sign off
Volume is not the hard part of AI content — approval is. The workflow that survives contact with legal: rules enforced at generation, one review queue, roles that mean something, and a record of everything.
Generative AI moved the bottleneck. Making a hundred assets is now trivial; getting a hundred assets approved is where campaigns go to wait. And the approval process most companies have was designed for a dozen assets a month, not a dozen an hour.
Here is the workflow shape that holds at volume — and that legal teams sign off, because they helped design it.
Enforce the boring rules before generation
Half of what reviewers catch is mechanical: a banned word, an off-palette colour, a claim that is not approved in that market, a missing disclaimer. Every one of those is a rule that can be applied when the content is generated instead of caught three days later. Load the claims library, the terminology, the banned list and the visual codes into a brand hub, and the mechanical half of review disappears — not because standards dropped, but because the standard is enforced earlier.
One queue, not seventeen inboxes
Approval by email thread is where consistency dies. A single review queue — every asset, every status, every comment in one place — is the difference between a process and a rumour. Reviewers see what is waiting for them; producers see what came back and why; nobody ships the unapproved version by accident, because the unapproved version cannot ship.
Roles that mean something
A workable chain needs exactly three: people who make, people who approve, and people who administer the rules themselves. The crucial property is that approvers cannot be bypassed and rule changes are themselves recorded. When the claims library changes, that change has an author and a date, the same as any asset.
Everything leaves a record
Who generated it, from which brief, with which model, who approved it, against which version of the rules. At enterprise volume this cannot be a spreadsheet someone maintains; it has to be a by-product of the system doing the work. The record is what turns an incident into a lookup instead of an investigation.
The result
Teams running this shape approve more content in a day than the old process handled in a month — with fewer escapes, not more. Volume was never the enemy of control. Unstructured volume was.