AI workflows & marketing automation taking first engagements The repetitive work eating your team's week? It's automatable. Safely.
Workflows, agents and the martech underneath. Mapped first, built to fail loudly, handed over so your team owns it.
Map a workflow with me See the services what I build It's not about the workflows. It's about the hours you get back.
The lead that goes cold. The DM answered at 11pm. The approval holding up every launch.
01 Workflows & integrations
Your tools, talking to each other.
form → filter → enrich → crm 02 Business agents & chatbots
Answers and triage, with a human in the loop.
dm → classify → draft → approve 03 Marketing technology
Leads captured, scored and followed up.
signup → score → route → nurture 04 Automation databases
One source of truth your team can read.
runs → log → dedupe → report anatomy of an automation A newsletter signup, turned into a sales-ready record.
Six steps, two of them human on purpose. Watch it run.
lead-enrichment.workflow running ⚡︎ signup @ enrich AI classify ✓ validate → route ▣ record Open the full anatomy + a small-business inquiry flow proof Built before. Measured after.
~70% of the lead record pre-filled before Sales opens it 1–2K sales-ready leads a month from ~300 signups a day +22% sponsor conversion once follow-up went automatic 26 small businesses set up with intake, routing and payments what was stuck Sales spent its first touch on research instead of talking to people.
what I built A newsletter signup became a sales-ready HubSpot record before anyone touched it.
Related: the Mogo lifecycle story tools Native first. Then the tool your team can own.
Mostly n8n, Zapier and Notion. Not sure which fits? Four questions get you my first instinct.
Try the platform picker n8n Zapier Notion Lindy OpenAI API HubSpot Make ManyChat Clay Klaviyo