Case 04 · AI product
How it works, in three shots
A brief comes in, inside set budgets, permissions and approved models.
Agent teams do the work. Every output is checked for IP and lookalikes.
The client gets the output. Every step is logged and auditable.
Illustrative diagram of how the platform works.
The problem
The question wasn’t whether AI could make assets. It was whether a services business could turn that into repeatable client delivery: quality it could stand behind, spend it could control, and work that’s safe to hand to a client.
What I did
The control layer
AI work only sells if the client can trust it. So every brief runs inside four controls.
Who can run what, with which tools and models, within what budget.
Every output is checked before it reaches a client: for IP infringement, lookalikes of existing work, and more.
Every access, tool call and model call is recorded, including what was blocked.
A traceable record for every output: who briefed it, which agents and models worked on it, and what was approved.
Where it stands
Live
delivering client work today
Outputs
pitches, vertical slices and full products; clients get the work, not the tooling
Next
regional teams running it with clients, on revenue-generating projects
Outside games
Any firm that sells deliverables, from proposals and designs to reports and campaigns, can work this way: agent teams do the heavy lifting, people own the result, and a control layer keeps spend, IP and access in check.
The judgment call
“Sell the output, not the tool. Clients pay for results they can use.”