Home / The systems
Chapter 03 of 08 · The systems

I don’t just use tools. I connect them.

A GTM system is data, intelligence, automation, execution and measurement working as one. Here is the architecture I build to, and the signals moving through it.

Architecture

Five layers. One flow.

Data at the base, measurement on top, and what you learn at the top feeds the base again. Hover the stack to pull it apart.

Hover to explode · click a layer

Everything starts with good inputs: market and account information pulled from the sources that matter.

Market intelligenceAnnual reportsCRMLinkedInExternal databases

Feeds → Intelligence

Where raw data becomes judgment: ICP evaluation, scoring, classification and research assistance.

PythonAIMCPScoringClassification

Feeds → Automation

The plumbing that moves information between tools without anyone re-keying it.

n8nAPIsWebhooksWorkflows

Feeds → Execution

Where the system meets the market: campaigns, meetings and human conversations.

OutboundABMCRMEvents

Feeds → Measurement

Results flow back as insight, so the next decision is better than the last.

Power BIDashboardsKPIsPipeline analytics

Closes the loop ↺ back into Data

An automated workflow

One account, no copy-paste.

A typical flow from signal to dashboard, with a human reviewing what matters. Press run and watch one account travel through it, or tap a step to see what it means in plain language.

In plain language

A trigger

one account · illustrative
Humans in the loop
How much do you hand to the machine?
Autonomy is a dial, not a switch. Turn it and see which tasks I would trust at each setting.
0Manual1Assisted2Supervised3Delegated4Autonomous
L0 · Manual
Manual
A human approves
Good for
Tasks I would run at this level
Account researchContact enrichmentCRM updates & routingScoring vs the ICPFirst-draft messagingSending outreachReplying to prospectsDiscovery callsPricing & negotiation
Measurement
From activity to decisions.
Dashboards tied to the CRM, so pipeline health is visible and the weekly conversation is about decisions, not data. Hover the chart.
Sample data to show the shape of the view — not client results
The full stack
Every tool, on the move.
The landscape GTM engineers and architects work in worldwide: 62 tools across 11 jobs. Search, filter, and tap a tool for what it does.
CRM7
Prospecting & data9
Sequencing & engagement6
Intent & signals5
Conversation intelligence4
Automation & AI8
Analytics & reporting6
Marketing & ABM5
Scheduling & meetings3
Data infrastructure4
Delivery & collaboration5
Tap any toolThe landscape GTM engineers work in worldwide — 62 tools across 11 jobs.
A solid dot marks my daily toolkit; an outlined one is what I study and bring in as projects call for it.
In the lab
What I’m building next.
Techniques I’m actively exploring, plotted on my own radar. Hover or tap a blip.
NOWPILOTINGSTUDYING
Piloting
Waterfall enrichment
  • Waterfall enrichment
  • Signal-based outbound
  • Deliverability engineering
  • Agentic workflows
  • Intent data
  • SQL & warehouse analytics
  • Multi-touch attribution
  • Predictive scoring
Rings are my own view of where each technique sits today. They join the daily toolkit once they have proved themselves on real work.
Your turn
Want a system like this for your GTM?
Tell me what’s manual today. I’ll tell you what I’d connect first.
Book an intro call
30 minutes · no pitch · a clear next step
Book an intro call