Outreach, paid control, retention, SEO content, analytics and dashboards, executed by agents your own marketing lead approves. Two weeks to install and train. Then it runs.
Each line replaces a person a growing company would hire. They share one client config, one CRM and one approval queue, so nothing gets re-explained between specialists.
Numbers are ratios and timings. Client data stays with the clients.
Hours per processed lead, after KOL and introducing-broker sourcing moved into one CRM pipeline. $7M quarterly budget run at up to 120% ROI, a 30+ person team.
From zero to 200+ sponsor leads in sequences. 81 WhatsApp touches and 159 emails on day one; two sponsorship deals closed over WhatsApp days before the event, Binance as main sponsor.
Three outreach machines run weekly with one person reviewing replies. Attribution moved from cost per action to revenue; the cheapest campaign turned out to be the worst money.
Not a chatbot that writes posts. A control loop with your CMO at the decisions that cost money, installed by the person who built it.
CRM, analytics, ad accounts, email domain, site. Client config written: brand, voice, caps, rules of engagement.
The modules that matter for your stage go live. Deliverability is fixed before any email leaves.
Hands-on, on your real data: reading alerts, approving spend, steering outreach and content.
Your CMO runs it from the queue you saw above. Alex stays on call in a Telegram thread for configuration and new modules.
One subscription covers installation, your CMO's training, the agents and every module. Ad spend and tools you already own are yours.
No CMO yet? Alex runs the system for the first 90 days while you hire, then trains the person you bring in.
Twenty years in marketing, dozens of companies from the inside, hundreds consulted. VP Growth & Partnerships at PrimeXBT, CMO of a Telegram AI product with 30M+ users and of an adult AI companion app, organizer of Bolivia Blockchain Conference and Tarija Tech Week.
Since 2022 I have been turning marketing work into systems, first content, then outreach, then analytics, until whole functions ran on agents with a human at the money decisions. AI CMO OS is those systems, cleaned of client data, installed for your CMO. I am the architect, not your operator.
Tell me what you sell, where customers come from today, who runs marketing on your side and what you expect in 90 days. A setup plan comes back within a day.