The Next Wave of Marketing AI Isn't About Content. It's About Running the Work.

Most marketing AI so far has been about making more content, faster. An Australian launch this week points at the bigger prize, running the marketing operation itself.

Runnit, built by Australian software engineer Mark Tolson, launched an AI-native operations platform for in-house teams and creative agencies. Instead of generating another social post, it uses an organisation's own knowledge, briefs, brand assets, workflows, project history, team capabilities and client information, to turn a single creative brief into a full project plan, recommend who should do the work and automate the operational steps in between. The pitch is that most of the value locked inside a marketing team is not creative, it is operational, and it sits scattered across documents and people's heads.

The company says it is already working inside businesses across Australia and New Zealand.

Content generation was the obvious first use of AI, and it is close to a commodity now. The harder, more valuable problem is operational drag, the planning, resourcing and coordination that eats a marketing team's week. Tools that attack that are worth watching. But there is a catch, and it is the same one that catches every tool. A platform that runs on your organisation's knowledge is only as good as that knowledge. Feed it scattered, out-of-date, undocumented process and it automates the mess.

The move from AI that makes content to AI that runs operations is the right direction. Just remember a tool built on your knowledge inherits your discipline, or your lack of it.