AI GTM Engineering

You're solving
a systems problem
with a hiring
budget.

Most early-stage GTM failures aren't talent failures. The accounts are wrong, the outreach is generic, and the space between a good discovery call and a signed contract is filled with assets that take too long to build. These are systems problems. Wilco Systems builds the AI system that solves them, and hands it over to your team fully operational.

Get a scoped proposal →

AI GTM System

Early-Stage B2B
Deployment

Research Trigger-based account intel
Targeting ICP-matched account list
Outreach Personalized sequences, built to run
Assets Demo + proposal generation
Status Operational: Week 3

What's included

Four problems.
One system.

The accounts are wrong, the outreach is ignored, the sales assets are too slow, and the whole thing stops working when the person who built it leaves. The system addresses all four.

01

You're targeting the accounts everyone else is targeting

Firmographic filters give you a list your competitors are already working. The accounts worth pursuing are a smaller set: companies with a specific reason to buy right now, identifiable from signals your current motion doesn't look for. The system finds that list before a rep makes a single call.

02

Your outreach volume is up. Your reply rates aren't.

Generic personalization has trained buyers to delete on sight. The bar for a reply is no longer "this feels relevant." It's "this couldn't have been written for anyone but me." The system generates outreach built on research specific enough to clear that bar, at a volume no human team can match.

03

The gap between a good call and a signed contract is costing you deals

Most deals don't die in discovery. They die in the follow-up: a proposal that took a week, a demo that didn't connect to the buyer's actual situation, a champion who couldn't sell it internally because you gave them nothing to work with. AI agents built on your product knowledge close that gap. Proposals in minutes. Demo flows built around the prospect's own context.

04

The system is worthless if only you can run it

Full documentation of every workflow and integration. A training session covering each component. Thirty days of post-launch support. The goal is a team that can run this, adapt it, and build on it without you. If that's not the outcome, the build didn't work.

How it works

Operational in
weeks,
not quarters.

Four phases. Six weeks average from kickoff to handover. You make the decisions. The build is on Wilco Systems.

Step 01

GTM diagnosis

Two weeks of research before anything gets built. Your product, your market, your current motion, and specifically where it breaks. The output is a clear picture of the systems problem the build needs to solve, specific enough to build against.

Step 02

Architecture and ICP

I design the system around what the diagnosis found. The ICP is specific: a named buyer, a named trigger event, a named reason to call each account type. You review and approve before build work starts.

Step 03

Build and deploy

The full system, tested on live accounts. You see real output before you sign off: real accounts, real sequences, real generated assets. Nothing goes to handover until it's working.

Step 04

Handover and training

Full documentation. Team training session covering every component. Thirty days of post-launch access for questions and adjustments. Optional monthly advisory for teams who want ongoing optimization as the motion evolves.

About

Built by someone
running it
right now.

190%

To quota, 2025

10+

Years enterprise sales

Wk 3

Avg. to operational

AI

Native GTM stack

I'm an enterprise Account Executive who hit 190% to quota running a full AI GTM system on top of a full closing load. Not a side experiment. The actual system I used to book and close enterprise deals.

I won the inaugural Change Agility Award in 2026 for AI application in sales. A decade in enterprise sales before that: founding AE roles, new territories, companies with no playbook and no inbound motion. I've sold to HR, finance, and marketing buyers from seed-stage startups to global multinationals.

Wilco Systems is that operator experience applied to your GTM. I'm not designing a system from a whiteboard. I'm building the system I use every day.

will@wilcosystems.ai  ·  wilcosystems.ai  ·  Brooklyn, NY

Pricing

A senior AE hire
costs $180k
and takes 90 days.

An AI GTM system deployed in six weeks costs less than one month of that hire. It doesn't need a desk, a manager, or a ramp period. It generates pipeline while your team is closing.

GTM System Build

$15k

project fee // 4-6 week build

  • Full AI GTM system designed and deployed
  • ICP and target account architecture
  • AI agents for demos, proposals, and objections
  • Personalized outreach infrastructure, built to run
  • Full documentation and team training
  • 30 days post-launch support included

Advisory Retainer

$3k

per month // post-build

  • Monthly optimization of the live system
  • New agent development as the motion evolves
  • Quarterly ICP and targeting review
  • Slack access for decisions and adjustments
  • Available standalone for teams with existing systems
  • No minimum term

Not sure what you need? Send the company. I'll scope it before you commit to anything.

Contact

Tell me
the company.
I'll scope it.

Send the company name, your current GTM motion, and the biggest thing blocking your pipeline right now. I'll come back with a scoped proposal: what the system looks like, what it costs, and how long it takes to build.

Email will@wilcosystems.ai
Web wilcosystems.ai
Based Brooklyn, NY

AI GTM Engineering

The GTM stack your
competitors are
still trying
to hire for.

Your competitors are posting SDR job reqs. Wilco Systems builds an AI agent stack that does the same work without the headcount: Clay for enrichment, Perplexity surfacing trigger events, custom LLM agents for demos and proposals, n8n as the integration layer. Designed, built, and deployed by an active enterprise seller who runs this exact system himself.

Get a scoped proposal →

Agent Stack Deployment

Early-Stage B2B SaaS
GTM System

Enrichment Clay: account + contact data
Research Perplexity: trigger events
Sequencing Instantly: personalized outbound
Agents Demo · Proposal · Objections
Status Operational: Week 3

What's included

A complete system,
not a stack of subscriptions.

Every component is designed to work together. The research feeds the targeting. The targeting feeds the sequences. The sequences feed the agents. You get a system that compounds, not a collection of tools nobody has time to learn.

01

Full AI agent stack, built and deployed

Clay for enriched account data pulled against your ICP. Perplexity surfacing trigger events in real time. Instantly or Apollo running personalized sequences at scale. Custom LLM agents built with Claude Code handling demo flows, proposal generation, and objection handling. n8n connecting everything. The stack that compresses a three-person SDR team into one system—operational in your first month.

02

ICP and targeting built for your actual buyer

Before a tool gets touched, we establish who you're selling to and why. For early-stage B2B companies, that means stress-testing founder assumptions against what the market is actually saying. For companies moving from B2C to B2B, it means identifying the enterprise buyer—who they are, what triggers a purchase decision, and where they're reachable—from the ground up.

03

Custom AI agents trained on your product

A demo flow agent that walks prospects through your product using their specific context. A proposal generator that turns discovery notes into a tailored pitch in minutes. An objection handler trained on your three hardest deals. All built with Claude Code—not generic AI wrappers, but agents trained on your product knowledge for your specific motion.

04

Full handover and team training

You own everything when the build is done. Full documentation of every workflow, every agent, every integration. A training session covering each component of the system. Thirty days of post-launch access for questions and adjustments. The goal is a team that can run this and build on it themselves—not a dependency on Wilco Systems.

How it works

Operational in
weeks,
not quarters.

Four phases, six weeks average from kickoff to handover. You're involved in the decisions. The build work is on Wilco Systems.

Step 01

GTM diagnosis

Two weeks of research before any building starts. Your product, your market, your current motion, your gaps. Crunchbase, job postings, G2 reviews, competitor positioning, founder conversations. The output is a clear picture of what the system needs to accomplish and who it's targeting—specific enough to build against.

Step 02

Architecture and ICP

I design the agent stack based on what the diagnosis found and define the ICP and target account criteria. You review and approve the architecture before build work starts. The ICP is specific—a named buyer, a named trigger event, a named reason to call each account type. Not a demographic sketch.

Step 03

Build and deploy

Clay workflows, Perplexity research agents, sequencing infrastructure, custom LLM agents, integration layer. Everything is tested on live accounts before handover. You see the system producing real output—real accounts, real sequences, real agent responses—before you sign off.

Step 04

Handover and training

Full documentation. A team training session covering every component. Thirty days of post-launch access for questions and adjustments. For teams that want ongoing optimization and new agent development as the motion evolves, a monthly advisory retainer is available after handover.

About

Built by someone
running it
right now.

190%

To quota — 2025

10+

Years enterprise sales

Wk 3

Avg. to operational

CC

Claude Code

I'm an enterprise Account Executive who hit 190% to quota running a full AI GTM stack on top of a full closing load—not as a side experiment, but as the actual system I used to book and close deals.

The stack I build and run: Clay for account enrichment, Perplexity for account research and trigger events, custom LLM agents built with Claude Code for demo flows and proposal generation, n8n to wire everything together. I won the inaugural Change Agility Award in 2026 for AI application in sales.

A decade in early-stage sales before that—founding AE roles, new territories, companies with no playbook and no inbound motion. I've sold to HR, finance, and marketing buyers from seed-stage startups to global multinationals. I know what building pipeline from zero looks like before there's a brand behind you.

Wilco Systems is that operator experience applied to your GTM. I'm not designing a system from a whiteboard. I'm building the system I use every day.

will@wilcosystems.ai  ·  wilcosystems.ai  ·  Brooklyn, NY

Pricing

A senior AE hire
costs $180k
and takes 90 days.

An AI GTM system built and deployed in six weeks costs less than one month of that hire. It doesn't need a desk, a manager, or a ramp period. It runs while your team is closing.

GTM System Build

$15k

project fee // 4–6 week build

  • Full AI agent stack designed and deployed
  • ICP and target account architecture
  • Custom LLM agents (demo, proposal, objections)
  • Clay, Perplexity, Instantly, n8n integration
  • Full documentation and team training
  • 30 days post-launch support included

Advisory Retainer

$3k

per month // post-build

  • Monthly optimization of the live system
  • New agent development as the motion evolves
  • Quarterly ICP and targeting review
  • Slack access for decisions and adjustments
  • Available standalone for teams with existing stacks
  • No minimum term

Not sure what you need? Send the company — I'll scope it before you commit to anything.

Contact

Tell me
the company.
I'll scope it.

Send the company name, your current GTM motion, and the biggest thing blocking your pipeline right now. I'll come back with a scoped proposal—what the system looks like, what it costs, and how long it takes to build.

Email will@wilcosystems.ai
Web wilcosystems.ai
Based Brooklyn, NY