I embed AI into social, content and lead generation so the repetitive 80% runs itself and specialists spend their time on the 20% that needs judgment. The goal is never novelty — it’s faster response, cleaner handovers and lower cost per lead.
AI is only useful when it maps to an outcome. The AI Marketing OS layers specific tools onto specific jobs — research, conversation, creative and workflow — connected into one funnel: ads → DM → AI → human.
GPT, Perplexity and social listening for insight and reporting.
ManyChat and GPT assistants that qualify leads in seconds.
Runway, Firefly and Canva AI for production at content-engine speed.
Custom workflows tying ads, DMs and CRM into one system.
Configured by me, run by the team — designed so the system does the repetitive volume and people do the parts that actually need a human.
In practice: audit where AI helps, build the assistants and automation flows, connect them to your CRM and content pipeline, and train the team to run it. The deliverable is a working system tied to metrics, not a strategy deck.
No — and building it that way fails. AI removes the repetitive 80% of the work so specialists focus on strategy, judgment and relationships. It makes a good team faster, not redundant.
ManyChat and custom GPT assistants for conversation, Sprout Social and Brandwatch for analytics, and Runway, Midjourney, Firefly and Canva AI for creative — chosen per job, not for their own sake.
Available globally for consulting, fractional CMO advisory, enterprise AI adoption, workshops and speaking.