Most AI conversations start at the wrong altitude. I work with founders, agency MDs, and boards on how the organisation should think, before anyone decides what it should buy.
Twenty-five years across creative engineering, content, and AI. I sit just inside the decision with founders, MDs, and boards, connecting opinion to fact and translating what matters into actions the organisation can actually take. Embedding AI shouldn't mean procuring new suppliers and platforms, or onboarding permanent hires to run it. Everything we do is designed to be handed over: we build the infrastructure together, growing AI capability and experience in your existing talent. That individuality remains your commercial delta.
The idea is the asset and everything else - the deck, the P&L, the campaign, the codebase - is a rendering of it. Why fluid beats finite, why I'd take the bugs, and why accessibility becomes a render target.
What do you actually buy when you commission a consultant now? On capability mapping for agents as well as people, and why 'I don't know yet' became part of the job.
Most AI projects don't fail at the build. They fail because nobody mapped the architecture first - an established discipline that AI delivery quietly dropped.
Hybrid AI-first production for multi-regional content
Read the caseEight times the catalogue coverage on the same content budget
Read the caseGamified L&D with AI character generation
Read the caseAI feasibility analysis for seasonal content at scale
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