GTM automation

An AI GTM pipeline that generates 200 emails in your inbox before your morning coffee

How we automated a broken, multi-tool prospecting workflow — and 10x'd a team's top-of-funnel overnight.

B2B sales

GTM automation

Deployed

"The best agent is the most invisible agent. The agent pulls information together. The human makes the decision."

— H

Well-defined, fixed, repetitive — exactly what we automate.

H partnered with a mid-size company to make their sales outreach more efficient. They target researchers in the US and send cold outreach before every major conference. Before we came onboard, the team spent hours every day switching between a CRM, a conference calendar, and Google Search just to draft a single outreach email. Every lead required manual research. Every email was a context switch.

The process was well-defined. It was fixed. It was repetitive.

Three minutes per email — before a real conversation ever starts.

Check the conference calendar. Find any upcoming events in the next two weeks. Identify the AI domain. Pull qualified contacts from the CRM in that same domain. Google each person's recent work. Draft a personalized hook based on what you find.

Then do it again. For every single contact.

Three minutes per email. At 20 emails a day, that's an hour of pure mechanical effort, before a single real conversation happens.

One pipeline in n8n — every data source in one place.

We rebuilt the entire workflow in n8n, centralizing every data source — HubSpot, Google Sheets, Gmail, Google Search — into one automated pipeline.

Each morning, before anyone opens their laptop, the agent:

  1. Checks the conference calendar for upcoming events
  2. Identifies the relevant AI domain
  3. Matches qualified contacts from the CRM
  4. Researches each person's recent achievements
  5. Drafts a personalized email, ready for review

Two principles

  • The best agent is the most invisible agent.
  • The agent pulls information together. The human makes the decision.

Where off-the-shelf AI tools fall short.

The real work was in the edge cases:

What we had to solve

  • Deduplication — what if a contact attends multiple conferences? Do you send multiple emails? What if they haven't replied in 60 days?
  • Deliverability — how do you send 200 emails a day without landing in spam or promotions? Sends are distributed evenly across aliased accounts.
  • Personalization vs. traceability — every dynamic hook needs an audit trail.
  • Seamless UX — the pipeline had to feel native to the team's existing tools, not like something new to learn.

From hunting leads to approving a full day of outreach.

The pipeline now runs on its own every morning. ~200 draft emails land in the inbox, evenly distributed across aliases, ready to review in under 30 minutes.

The team went from manually hunting leads to approving a full day's outreach before their first coffee.

Outcome

~200 personalized drafts in the inbox each morning — reviewed and approved in under 30 minutes.

Built by H — helping businesses turn AI adoption into real productivity.

Want something similar for your GTM motion?

We'll walk through your stack, edge cases, and what a human-in-the-loop pipeline could look like — practical conversation, no pitch deck.

Book a free 30min consultation