Consulting · AI for Marketing
Most AI adoption produces more content nobody wanted.
The question isn’t what AI can make for you. It’s who it lets you reach that you couldn’t reach before — and who stays accountable for what it says.
Deciding where AI genuinely compounds in your marketing — usually reach, language and personalisation, not production volume — then building the workflow, the operating model and the governance before you ship anything.
AI scales a voice. It never invents one.
Name the person who answers for what it said, before it says anything. Governance is not a phase-two problem in a regulated category — it is the thing that decides whether you can ship at all.
Leadership wants ‘an AI strategy’ and the team is producing more posts nobody reads. You’re in a regulated category and legal has stopped every idea so far. Or you serve a multilingual market and reach it in one language.
Start with the reach question, not the tool list. Find where language or personalisation is the real constraint, prove it small, then build the engine and the governance together — because in a regulated category, AI at scale is a compliance surface, not just a content engine.
I’ve shipped this: a digital twin of brand leadership, and regional social pages running in five Indian languages on AI-generated content, inside a listed financial institution.
The proof: AI-native marketing at institutional scale · the argument: AI’s gift is language, not speed.