Put AI to work. Make it yours.
Practical training built around your team's work. Leave with usable tools, a shared way to evaluate the output and workflows you can run yourselves.
Build the tools your team will use.
Brief builders, brand guidance and decision workflows, developed around real work.
Build a brief.
Create a repeatable brief structure and an AI assistant your team can use across campaigns.
Protect your brand voice.
Develop a voice profile and a review workflow for identifying where an AI draft drifts from your brand.
Make the recommendation clear.
Turn reports into decision briefs. Practice explaining the evidence, challenging assumptions and preparing for objections.
Build on real work.
Use a workshop or hackathon to build and test a tool around an actual recurring task. Agree what AI does and where people remain responsible.
Keep the capability in your team.
Choose the modules that fit your role and engagement. Training can support a new capability or a broader workflow change.
Leave with something your team can use.
Build practical assets during the engagement: a prompt library, a brief builder, brand guidance or a decision-brief workflow. The selection follows the work your team needs to do, rather than a generic tour of AI tools.
Assign an owner, document how the tool should be used and agree how to review its output. The aim is a working practice your team can maintain after the session.
Shape the training around the work.
Who is it for?
Marketing leaders and the teams responsible for briefs, creative development, analysis and commercial recommendations. We choose the exercises around their roles and current capability.
Can we use our own projects?
Yes. Agree suitable examples and information boundaries upfront, then build around the briefs, brand guidance or reports your team actually works with.
How do we know it has helped?
Agree the task your team should perform differently, the output it should produce and how that output will be reviewed. Judge the work, rather than attendance alone.