AI is making more of your assets. Someone still has to own the result.

The problem

Generative AI now produces adaptations, resizes, copy variants and imagery in minutes. Work that agencies and production partners used to price by the hour or by the asset is heading towards zero, and brand teams are buying AI tools faster than they set the rules for using them.

The result is more output and less control. Assets drift off-brand, legal and regulated copy goes out without a clear sign-off, and AI-generated artwork reaches the printer with the wrong colour set-up, missing pack copy or a barcode nobody checked. The saving on the production line comes back as rework, reprints and risk.

For suppliers there is a second problem: the commercial model. If the client is paying less for each asset, the business needs a different way to earn its margin.

What we do

• Review where AI already sits in your workflow, from brief to finished file, and where it should and shouldn't be used
• Set the inputs AI works from: brand rules, approved copy, templates, product data and past performance, so the output starts in the right place
• Design the guardrails and approval points: who signs off brand, legal and regulated copy, and what a person must check before anything goes live or to press
• Build print and packaging checks for AI-generated artwork, covering colour, die-lines, mandatory pack copy and barcodes
• Reprice the work, moving from hours and asset counts to managed-service and outcome-based models that hold their margin as unit costs fall
• Link output to commercial results, so you can see which content performs and refresh it before it stops working
• Reshape roles, moving people from routine asset production to insight, brand judgement and client leadership