Your team should be creating,
not coordinating
The marketing coordinator you hire will produce 5x more if we automate the ops layer first. Campaign scheduling, reporting, content repurposing - handled by the system. Your team focuses on strategy and creative.
The four problems that kill marketing ops
A full marketing ops layer, built in 2-4 weeks
Not a tool subscription. Not a consultant with a deck. An actual system running in your stack, doing the work.
"The marketing teams I've worked with aren't failing because they lack creativity. They're failing because half their time goes into coordination work - scheduling, reformatting, pulling numbers. That's solvable. We build the ops layer so the creative layer can actually breathe."
Ivan Bolonikhin - Founder, 2pizza.team
The stack we plug into
Marketing AI questions, answered
How is this different from using ChatGPT directly?
ChatGPT is a tool; we build the system around it. Brand voice training so output sounds like your team, integrations with your CMS and email platform so content flows through your existing stack, prompt versioning so quality does not drift, cost monitoring so one user does not burn your LLM budget. ChatGPT is the engine, we build the car.
Will AI content sound like AI?
Only if you skip the brand voice training step. We train a custom voice model on your accepted past content - blog posts, ad copy, emails. The model learns rhythm, sentence structure, vocabulary, and what to avoid. Result reads like your senior strategist, not a chatbot. Working examples in Persij and HER ONE projects.
Can you integrate with our existing marketing stack?
Yes - Klaviyo, HubSpot, Salesforce Marketing Cloud, Braze, Customer.io, Mailchimp, ActiveCampaign for lifecycle. WordPress, Webflow, Contentful for content. Google Ads, Meta Ads Manager for paid. We add an AI layer to what you have - no forced tool migrations.
How long until first workflow goes live?
Two weeks for a focused single-workflow build. Four to six weeks for a multi-workflow system. Your team sees real drafts and real emails within the first 10 days, not after the final delivery.
How do you measure marketing AI output quality?
Three layers. Eval framework runs regression tests on every prompt change. Production metrics track how often editors accept, edit, or reject AI drafts. Business metrics measure content output rate, email open rates, and AI-drafted vs control conversion.
What does this cost?
Marketing AI workflows fall in our Standard tier - $2,000-4,000 fixed price delivered in 2-4 weeks. Active retainer at $1,500/month covers ongoing tuning. LLM costs ($200-800/mo typical) are pass-through. Full pricing on the Pricing page.
See what we'd automate in your stack
4 questions. Personalized audit. No sales pitch.
Start free audit2 min - 2pizza.team