Enzo Snyman
I build and run AI-agent systems that operate GTM and revenue functions in production.
77 active n8n workflows run in production today across live GTM engagements.
29
Enrichment vendors, ~$0.01-$0.02 per lead
1,150+
Mailboxes monitored
4,800+
Commits in eight months
One operator, embedded, with a production toolchain. Every pillar below runs on live GTM engagements today.
AI automation and agent systems that take over the recurring coordination work: reporting, follow-ups, monitoring.
Enrichment pipelines and outbound infrastructure, engineered around the economics of lead data.
Sender infrastructure kept healthy: domains, mailboxes, and reputation, watched every day.
Rollout, handover, and adoption, so the system survives contact with a real team.
Good systems don't impress anyone. They disappear into the background and let the work speak.
Three principles that govern the work
Hire a system before you hire a seat. One agent system carries the weight of three operators, quietly.
Every SaaS line item, every approval step, every enrichment credit has a price, most of it hidden.
A system worth paying for keeps running in production after I leave. Documentation is the deliverable, always.
The Operational Cost Audit asks for your own figures. No email gate, no invented benchmark, no promise that every pound is recoverable.
A working document. It maps the true cost of operational bloat, the case for open-source where it compounds, the architecture diagrams I use on live engagements, and the week-by-week roadmap for putting these systems into production inside your company.