Workflow · AI content creation

Agency-client collaboration when AI makes the content.

When AI does much of the production, agencies and clients work best in a shared studio rather than swapping files: the client's brand rules and approvals live in the platform, the agency directs and produces inside it, and every asset carries its history. Contracts need to catch up as well, covering who owns outputs and saved elements, how usage is billed, and what happens to everything if the relationship ends.

One studio instead of file transfers

The traditional loop of briefs by email, files by transfer link and feedback as annotated PDFs breaks down when output grows from dozens of assets to hundreds. A shared studio puts the brand hub, the briefs, the work in progress and the approvals in one place both sides can see. The agency works inside the client's current rules rather than a copy that goes stale, and the client sees progress without chasing status updates. Decide early whose environment it is: an agency workspace per client, or the client's own studio with the agency invited in. The answer shapes ownership, access and what happens at the end.

Client approvals inside the platform

Approvals are where agency timelines slip, usually because feedback arrives from several people, in several formats, contradicting each other. Move approval into the platform: named client approvers per stage, a fixed order such as brand, then legal, then market, comments attached to the asset instead of scattered through email, and a record of who approved what and when. Give client reviewers a simple view showing only what awaits their decision. Agree service levels in both directions, because the agency commits to turnaround and the client commits to review windows. An approval record held in the platform also settles later arguments about what was signed off.

Rights, ownership and saved elements

AI production raises ownership questions that older agency contracts do not answer. Who owns the outputs, and what rights exist in them at all, given that purely generated material may not attract copyright? Who owns the saved elements built during the work, such as a recurring brand character, a product set-up or a custom style? What happens to the brand hub and asset library if the client changes agency? Settle it in the contract: outputs and client-specific elements assigned to the client, the agency's pre-existing tools and methods kept by the agency, and an export of assets, metadata and approval history when the relationship ends.

Usage billing and white label

Generation costs vary with use, so billing is shifting from hours and fixed fees towards usage plus the agency's strategic and creative time. Clients want to see what drove cost; agencies want a fair margin on the production they manage. Transparent usage reporting per client makes that conversation easier than folding everything into a retainer. For agencies, Synthetic White is a white label studio they can resell under their own brand, with a separate tenant and brand hub for each client and per-client billing, so each client's data and brand rules sit in their own space and each client's usage is reported on its own.

Updated 25 September 2026 · General information, not legal advice. Rules change, so check the current text with your legal team before relying on it.

Questions

Agency-client collaboration, answered.

Who owns AI-generated work an agency makes for a client?

Whoever the contract says, within the limits of copyright law. Many generated outputs have thin or no copyright protection, so the contract should assign whatever rights exist to the client, cover client-specific elements such as saved characters and styles, and confirm that the agency keeps its own pre-existing tools and methods.

Should clients approve AI work inside the agency's platform?

Where possible, yes. Approval inside the platform gives one place for comments, a fixed approval order and a record of who signed off what and when. It is faster than rounds of email, and it settles later questions about which version was approved, which protects both sides.

How should agencies bill for AI content production?

Increasingly in two parts: usage, reflecting the generation actually consumed, and people's time for strategy, creative direction and review. Clients get transparency on production cost, and agencies are paid for judgement rather than for hours on work that AI now does. Usage reported per client is what makes the model workable.

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