Services · AI Marketing Consultant
If the answer is ‘more content, faster’, you’ve hired the wrong person.
AI’s value in marketing is reach, language and personalisation. Volume is the consolation prize.
Finds where AI compounds in your business rather than in a keynote — usually reach and relevance, not production — then designs the workflow, the operating model and the governance before anything ships.
Ask who is accountable for what it says.
If nobody can be named, you don’t have leverage — you have liability with your logo on it. In a regulated category this is the first question, not a phase-two concern.
Someone who has shipped it, in a category with consequences. Ask what their AI work cost, what legal said, and what they killed. A consultant whose AI experience is a pilot and a newsletter will hand you a tool list.
I’ve shipped AI-native marketing inside a listed financial institution: a digital twin of brand leadership delivering personalised content at scale, and regional social pages running in five Indian languages on AI-generated content — putting institutional expertise in front of people who had never been spoken to in the language they think in.
Common questions
What does an AI marketing consultant do?
Identifies where AI genuinely improves marketing outcomes — typically reach, language and personalisation — and builds the workflow and governance to run it responsibly.
Where does AI actually pay off in marketing?
Reaching audiences you couldn’t serve before, especially across languages, and personalising at a scale humans can’t staff. Producing more content rarely changes a business number.
Is AI content safe in a regulated industry?
Only with governance designed in from the start and a named human accountable for every output. In regulated categories AI at scale is a compliance surface, not just a content engine.
What is a digital twin in marketing?
An AI representation of a brand voice or leader that can deliver personalised content at a scale a person can’t — useful only when it stays accountable to the real person behind it.
Go deeper: the AI practice · AI at institutional scale · the argument.