B2B SaaS · Sales
An SDR that qualifies 400 leads/day without blinking.
−72% qualifying time+3.1× qualified MQLsROI by week 5
Thirty-three ways
to stop doing
what you shouldn't.
We're an AI studio. We build agents, automations, and AI-driven marketing systems for teams that want to grow without growing headcount.
01 / Services
Four ways to let a machine do it for you.
Capabilities
- / 01
Custom agents
Autonomous assistants that read your inbox, draft proposals, qualify leads, book calendars, and sync with your CRM. Trained on your tone, your data, and your rules.
- / 02
Process automation
What today takes five browser tabs runs by itself. We integrate your stack — Notion, HubSpot, Slack, Sheets, n8n, Zapier — without breaking what already works.
- / 03
Agentic marketing
Content, SEO, ads, and multi-channel campaigns run by a team of agents that write, test, measure, and improve. You approve the strategy; they execute 24/7.
- / 04
AI strategy & consulting
You don't know where to start. In two weeks we map where AI moves the needle and where it's just noise, and we leave your first case in production.
/ Agentic marketing
It's not automation. It's delegation.
Framework
Classic automation
Always does the same thing, if-then, sequential. Useful, but fragile: change one column and it breaks.
- Rigid, predefined flows
- Zero judgment when things change
- Scales with team time, not with output
Agentic marketing
A team of agents with goals, memory, and tools. They read context, decide, act, and learn. You review outcomes, not every task.
- Agents with goals, not scripts
- Adapt to new data and errors
- Scale with output, not headcount
02 / Process
Four weeks from idea to deploy.
Workflow
/ WK 01
Discovery
We audit processes, stack, and data. You leave with an opportunity map prioritized by ROI.
/ WK 02
Design
We define the agent or automation: inputs, rules, guardrails, costs, SLAs.
/ WK 03
Build
We build it, wire it to your stack, and test it with real data.
/ WK 04
Deploy
Handoff, monitoring, and a dashboard so you see what it does — and what it saves.
03 / Numbers
What happens when a small team has a big brain.
Hours saved / month
+320
Average per client after 90 days in production.
Conversion lift
+41%
On campaigns with automated generation and testing.
Time-to-deploy
4 wks
From first call to first agent in production.
/ Cases
What happens when agents clock in.
E-commerce · Marketing
Generating creatives that test themselves.
+41% CTR−60% cost per creative1 operator, 200 variants/week
Professional services · Ops
Proposals that write themselves while you sleep.
4h → 12min per proposal+28% close rateHuman handoff when it matters
Startup · Support
A support agent that resolves L1 and escalates L2 with context.
74% tickets resolved aloneTTFR <30sNPS +18 pts
/ What they say
Small teams with leverage.
We thought we needed to hire two people. We ended up hiring an agent that does the work of three.
They had our first agent in production in 18 days. ROI arrived before the second invoice.
They understand the difference between automating a task and redesigning how we work.
/ Stack
Your tools, not ours.
Integrations
OpenAIAnthropicLangGraphn8nZapierHubSpotNotionSlackSupabaseVercelShopifyStripe
/ Manifesto
A studio, not an agency.
Principles
We believe AI won't replace teams — it'll amplify them. Designed right, a team of five performs like twenty.
We start with the problem, not the model. If the fix is a macro in Sheets, we tell you “write the macro”.
We ship systems that run, not demos that die on Monday. Deploy, monitoring, handoff, ownership.
Iteration is the product. First agent live in four weeks. Then, improve with real data.
We work with your team, not in place of it. Decisions stay on the human side.
/ FAQ
Questions everyone asks.
What exactly is an Intelligent Automation Studio?
A studio that designs and builds systems operated by AI agents. Think of it as a hybrid between consultancy, product agency, and automation engineering team: we define what to delegate to AI, build it, measure it, and hand it over operational.
What's the difference between traditional automation and agentic marketing?
Automation runs a fixed script; an agent pursues a goal. A marketing agent defines its own sequence to hit +X% MQLs, not just a Zapier workflow. It decides, iterates, learns, and reports.
How long until I have a first agent in production?
Four weeks from the first call. Week 1 discovery, week 2 design and costs, week 3 build with your data, week 4 deploy and handoff. No endless projects.
What stack do you work with?
Models: OpenAI, Anthropic, Google. Orchestration: LangGraph, n8n, custom code. Integrations: HubSpot, Notion, Slack, Supabase, Stripe, Sheets, whatever you already use. Priority: don't break what works.
Do I need AI expertise on my team to work with you?
No. The point of the studio is that you don't have to become an LLM expert. We ship documented systems and train an owner on your team to operate them day to day.
What about sensitive data and compliance?
We design with explicit data boundaries: what goes to an external model, what stays in your infra, what never gets logged. We can run local/self-hosted models when the case calls for it.
How are projects priced?
Fixed fee per phase (discovery + build + deploy) plus an optional monthly retainer for iteration and operation. No hidden tokens-per-thousand: we see model costs together and leave you in control.
What kind of companies are your clients?
From seed startups with 5 people to innovation teams at 500+ employee companies. The common thread: small teams that need leverage, not another tool to manage.
How is 33brains different from a traditional marketing agency?
An agency sells you people hours. We sell you systems that run without us. If at the end of the project you still depend on our monthly presence to keep it running, we failed.
Do you work with clients outside Argentina?
Yes, 60% remote. We work with teams in LATAM, the US, and Europe. Async by default, tight meetings, measurable deliverables.
/ Contact