Level 2 taught one professional to produce truthful AI-assisted work. Level 3 is about the agency: twelve people on six accounts, three of them in regulated categories, all shipping copy, creative, email, landing pages and reports every week. At that scale the control cannot be one careful person reading one draft. It has to be a production system whose steps are written down, whose inputs are governed documents, whose outputs are sampled, and whose failures have a named path out.
The course is organised around the five things that make an AI-assisted studio work. Workflow design takes a campaign from brief to publication as a mapped production line and marks each step as AI-assistable preparation, human craft, or a decision no machine touches. Standard operating procedures turn that map into something a new hire can follow on their second day, with the hard stops written first. Knowledge bases put the brand guide, the approved claims list, the substantiation file, the tone rules and the category constraints into a controlled document set that retrieval can cite, so the model stops guessing what the client is allowed to say. Integrations connect the assistant to the content management system, the digital asset manager, the ad platforms and the analytics warehouse, with reads open, writes explicit, and every publishing action behind an approval gate. Quality assurance and measurement sample what shipped, classify the errors, escalate what needs a person, and report what actually changed, separating the work the agency controls from the outcome it does not.
Risk tiering runs through all of it. A social caption about a bicycle colourway and a paragraph about a supplement's effect on sleep are the same production step and completely different risks. Level 3 teaches you to tier by claim type, not by channel or by deliverable, and to attach controls proportionate to the tier.
The level ends with a capstone: redesign one real workflow from your own agency as an AI-assisted production line, on fictional data only, with the SOP, the tier analysis, the knowledge base design, the integration specification, the QA plan, the measurement plan, and a memo to your principal saying whether to proceed.
This is an independent educational course offered by AI Coalition Network. It does not replace legal, privacy, or advertising-compliance advice, and it confers no platform certification or regulatory approval.