Marketing teams have never been short on AI. They're short on execution. The work between an approved brief and a live campaign crosses a CMS, a DAM, an engagement platform, and a review process, and at every handoff someone carries it to the next tool, or files a ticket and waits. That's the execution gap, and it's why your segments outnumber the experiences you can actually build. This session makes the case for a governed execution layer that runs across the whole stack and ships the full variant set including how AWS cut page creation from ten hours to thirty minutes.

Most marketing orgs have AI access but few have an operating model for it. This talk lays out what an AI-native marketing organization actually looks like: where CMOs are embedding agents, which work stays human, and how to build a team whose capacity isn't rationed by who happened to get a license. It also covers the failure mode nobody advertises: tokenmaxxing, where pilots burn spend without shipping real work, and what separates orgs building brands from orgs still working backlogs.