Go-to-Market Architect

I transform your sales P&L with AI-powered systems.

Go-to-Market Architect for B2B teams who need more revenue per rep, not more reps. I build the AI workflows that make one person do the work of five.

I retrofit AI intelligence into your existing GTM stack. You keep Salesforce, Outreach, and Gong. The intelligence layer feeds them.

Built with the tools your team already runs

Your best reps don't need more to do.
They need less junk work to do.

60% of rep time disappears into research, list building, enrichment, and CRM hygiene. That's the work to kill. Give your closers the engine, get back to closing.

Reps as manual laborers

Great sellers stuck on grunt work

  • 60% of rep time on research and list building, not selling
  • Every rep rebuilding the same research wheel every morning
  • Starts each day cold, guessing what to work first
  • Personalization that maxes out at first-name merge fields
  • Dirty CRM data quietly killing forecasting
  • Top performers burning out on the parts they hate
Reps as closers

One engine working behind every seat

  • +Reps log in to scored, enriched, ready-to-work accounts
  • +Buying signals surfaced automatically, not discovered by hand
  • +Sequences written on real context, not templated hope
  • +CRM hygiene running in the background, always
  • +One engine serving every seller on the team
  • +Closers focused on discovery and closing, full stop

How a custom prospecting system actually gets built.

Three phases. Audit the stack, build the engine, compound the gains. No deck-ware, no theory, no quarterly retainers that produce powerpoints.

01
Phase 1 · Weeks 1–2

Audit & architecture

Map the existing GTM stack end to end. Find what's working, what's broken, what's missing, and what to rip out. Architecture roadmap with priorities before a single line of code is written.

  • Full GTM stack audit and dependency map
  • ICP and buyer persona refinement
  • Signal source identification (hiring, funding, intent, stack changes)
  • Gap analysis: what's manual that shouldn't be
  • Architecture roadmap with sequenced priorities
02
Phase 2 · Weeks 3–6

Build & integrate

Custom prospecting engine wired into the tools you already run. Account scoring, deep enrichment, contact finding, AI personalization on real signals. Output lands in Salesforce, Outreach, HubSpot — whatever the team uses.

  • Custom prospecting engine scoped to your ICP
  • Account scoring and deep enrichment pipelines
  • Contact finding and email waterfall workflows
  • AI personalization on real signals, not merge fields
  • CRM hygiene workflows running on schedule
  • Output delivered into the tools your team already uses
03
Phase 3 · Ongoing

Optimize & compound

The system gets better every week. New AI capabilities ship constantly — you get them in days, not the next planning cycle. Scoring tunes itself against closed-won data. Monthly strategy reviews keep the priorities honest.

  • Weekly performance tuning based on rep feedback
  • Scoring refinement against closed-won data
  • New AI capabilities integrated as they ship
  • New signal sources added as they emerge
  • Monthly strategy reviews tied to pipeline outcomes

The stack that runs the engine.

Same tools your team already pays for, plus the AI layer that makes them actually work together. Nothing proprietary, nothing locked.

01

Intelligence sources

Real signals that say a buyer is in market, not generic firmographics.

Hiring data Funding events Tech stack changes Intent signals Job postings
02

Sourcing & enrichment

Find the right accounts and contacts. Stop paying for stale lists.

ZoomInfo Apollo Apify FullEnrich Hunter Prospeo
03

AI reasoning

The brain. Reads signals, scores accounts, writes copy that doesn't sound like a bot.

Claude Gemini Custom Python Agent orchestration
04

Data layer

Where every account, contact, and signal lives. Queryable, exportable, yours.

Supabase Postgres CSV pipelines
05

CRM & engagement

The intelligence layer feeds the tools your reps already use every day.

Salesforce HubSpot Outreach Salesloft Lemlist Instantly
06

Deployment

Always-on workflows. Cron jobs, serverless functions, dedicated agent runners.

Netlify Mac Mini agents Cron tmux
Chance Fakih, founder of Archetype GTM

I built this on my own book first.

Founder · Go-to-Market Architect

Most "AI consultants" have never carried a quota. Most sales consultants don't know AI. Archetype GTM is the intersection — a sales practitioner who builds with code, not a developer guessing at what reps actually need.

I built this for myself first. Four years carrying quota meant finding every edge — which for me meant writing Python, wiring up APIs, and running a prospecting engine against my own book. It worked. Three President's Club years in a row. Then other reps on the team started asking me to build the same thing for them. I became the black market AI dealer on the floor, running agents on other reps' pipelines to help them hit quota too.

  • 3× President's Club — top performer, not average
  • 4 years carrying quota at a category-defining sales tech company
  • 50K+ accounts processed through my own prospecting engine
  • Hybrid profile — deep in legacy GTM tools, deep in modern AI tooling

Taking on three clients this year.

Private beta. Hand-picked fits only. Here's who the engine is for — if it sounds like you, book the call.

President's Club
at one of the category-defining sales tech companies
50K+
Accounts processed
through my own prospecting engine
4 yrs
Carrying quota
in the trenches, every day
The fit

What an ideal client looks like.

You have a TAM worth capturing. There's real demand out there, real accounts to go after, real revenue your team is leaving on the table because nobody has time to work them all.

Your reps can close on the phone. The closers exist. They convert meetings when they get them. The bottleneck isn't talent — it's the grunt work stuck in front of the selling.

You want to plug in, not rip out. Keep your Salesforce, your Outreach, your Gong. The engine feeds intelligence into what you already run. Nothing replaced, nothing locked.

Your reps want clarity. They want to log in, see exactly what to work, and go execute. No dashboards to decode, no new tools to learn.

Bonus: If you're still figuring out which tools to bet on, I've spent four years talking to hundreds of sales leaders about theirs. Stack recommendations can be part of the engagement.

Questions I get on every first call.

Straight answers, no deflection.

What does this actually cost?
Every engagement is custom-scoped to the size of the team, the complexity of the stack, and the depth of the build. The exact number comes out of the strategy call once I understand what you're trying to build.
Am I locked in? What if I want to leave?
You're not locked in. The engine runs on your infrastructure, not mine. I build it, I manage it, I keep it humming — but you own it. Every line of code, every workflow, every prompt. Cancel the retainer and the system keeps running. You just stop getting weekly tuning, new capabilities, and strategy reviews.
How is this different from 11x, Artisan, AiSDR, and the other "AI SDR" tools?
Those tools churn 80% of their customers within the first year. They're productized SaaS built for an average customer that doesn't exist — the pitch is "AI replaces your SDRs," and it doesn't. This is the opposite: custom-built around your specific ICP, your specific stack, your specific reps. AI handles the reasoning, code handles the execution, humans still close.

One engine.
Behind every seat.

Ships in weeks. Compounds every month. Owned by you. One thirty-minute call to see if it's a fit — and only three spots this year.

Book a Strategy Call