A walkthrough of how Tungsten Marketing built an internal AI Studio that delivers concrete outcomes across campaigns, ABM, and content. The session leads with a clear thesis: the future of AI in marketing is not generative, it is outcomes.

From there it walks through the four layers any team needs to build their own studio:

1. Defining the outcomes (what should change for the team),
2. Building the knowledge base (what the automations need to know to be correct),
3. Writing the automation procedures (how outcomes get produced)
4. Choosing the delivery surface (how outcomes reach the team).

Tungsten Automation's own build is the worked example throughout, including how we use our own products (Tungsten TotalAgility for document processing and Forge as the intelligence layer between every tool and any LLM).

Leave this session with:

• The Marketing AI Studio Build Guide, a Tungsten-branded document delegates leave with. It mirrors the session structure: the outcomes a studio delivers, the knowledge base layer, the automation procedures, the delivery surface, and where to start.