Start here if a marketing team is ready to build.
The Marketing Lab
Brand-safe AI content and insight, without drowning in generic output.
- Format
- Two days, hands-on. A marketing team, their real brief.
- Who it’s for
- Marketing teams under content volume pressure.
What happens
- Decompose how content and insight actually get made in your organisation today.
- Separate the work where volume helps from the work where judgment and brand voice decide.
- Give the AI the context it needs — brand, policy, exemplars — rather than blaming the model for what nobody wrote down.
- Build the tool, grounded in your own material.
- Design the brand-safety gate and who owns it.
What you leave with
A redesigned content and insight workflow
A working, brand-grounded tool
A measured throughput or quality gain
The discipline
Generic output is a context failure, not a model failure. Nothing here ships without the knowledge step done properly.
Next step
Pricing and scheduling depend on your organisation, so they go in a conversation rather than on a page. The fastest way to judge whether this fits is to watch the method run on your own work.
Show me your work →
Describe something you actually do, and watch it come apart.