What I build
You sold the outcome.
I build the machine.
I'm the engineer behind AI GTM agencies. You sold the outcome — sourcing, enrichment, sequences, signals, reporting that survives a QBR — and now something has to actually run it. I build that machine inside your stack, under your brand, and hand it over documented. You keep the client relationship. I never sit on your calls.
01The diagnosis
What breaks
- Every client onboarded by hand, so client six costs the same as client one
- A vendor stack nobody owns: five tools, four logins, no pipeline between them
- Lists that look big and convert at zero, because ICP lives in someone's head
- AI-written emails that read like AI-written emails, and a domain paying for it
- Deliverability found out about after the first client complains about bounces
- No reporting layer, so QBRs get rebuilt in a spreadsheet the night before
- Nothing is idempotent — a rerun double-sends, a crash strands a record
- One operator is the single point of failure and cannot take a week off
What changes
Delivery stops being a person
The work your clients bought runs as a pipeline instead of a founder with twelve tabs open. What that pipeline covers is whatever we scope — but the shape of the change is always the same: manual steps become a system with a review gate in front of the parts that spend money or reach a prospect.
The next client is cheaper than the last
Onboarding becomes a path rather than a project, so client count stops being capped by the hours of whoever knows how it all works.
You own it, and it survives me
Everything lands in your repos and your vendor accounts, documented, with a walkthrough for whoever runs it. The measure of a good engagement is that you don't need another one.
None of this is a package. Which pieces you actually need comes out of the intro call and lands in a written scope with a fixed price — and if it grows, we re-price it in writing rather than arguing about what a bullet point on a website implied.
02Build modules
What I'm handed a login for.
Most engagements are a subset. We scope which of these you need and which you already have working — I'd rather leave a tool in place than rebuild it for the invoice.
Sourcing and enrichment
ICP definitions that disqualify most of the market, provider waterfalls (Apollo, Clay, verification), dedupe and caching so you stop paying twice for the same contact.
Sequencing and deliverability
Domains, mailboxes, warmup gates, per-mailbox caps, and a sending layer that fails closed instead of torching the client's reputation.
AI drafting with a human gate
Per-prospect drafting worth reading, with a review queue in front of every send. Approval is a step in the pipeline, not a promise in the SOW.
CRM and data plumbing
HubSpot or Salesforce as system of record, your platform as the mirror. Idempotent writes, no double-sends, no stranded records after a crash.
Signals and intent
Job changes, hiring, funding, site visits, competitor mentions — routed into the sequence that should react to them instead of a dashboard nobody opens.
Reporting and client-facing surfaces
Per-client dashboards and QBR-ready numbers pulled from the pipeline itself, so the deck is a query and not a weekend.
Multi-tenant foundations
Client isolation, per-client config and credentials, and an onboarding path so adding a logo is a form, not a project.
Internal agent tooling
Coding and ops agents doing real work inside your repo under a review pipeline — the part everyone demos and few run in production.
03Fit
Who I work with
- New AI GTM agencies with signed clients and a stack held together by Zapier and hope
- Founders who sold an AI-powered outcome and are personally doing the manual work behind it
- Agencies stuck at the client count one operator can babysit
- Consultancies adding a GTM-automation line and needing it built once, properly
- Teams evaluating Clay, Smartlead, Instantly, HubSpot and unsure what to own vs. rent
Why me
I'm a serial entrepreneur who recently left a co-founded venture-backed startup to build with AI full time. In that seat I bought agencies across recruiting and marketing, so I know exactly where the delivery layer breaks. Today I'm building a multi-tenant GTM automation platform — a real multi-tenant system running sourcing, enrichment, drafting, approval gates, sending and reporting, mostly written by AI agents under a review pipeline I designed. I'm not running an agency and I'm not pitching your clients. I build the machine and you keep the relationship.
Next step
Bring your stack and your client list
Twenty minutes. I'll tell you what I'd build first, and whether you need me to build it.