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Go-to-market infrastructure you own.
Theo is an AI agent fleet that plugs into the email, CRM, and databases you already run. It identifies and researches your markets, verifies leads, drafts cold and warm outreach, tunes your website and campaigns, and carries proposals from RFQ to finished document. Deployed as infrastructure into your tenancy, not rented as SaaS.
Book the free pre-discovery call → See the offer: GTM AI agents →
This page is the method deep-dive: the rails, the guards, and the run log. For what you get, what it costs and how it compares, start at GTM AI agents.
What is AI go-to-market infrastructure?
It’s an agent system that runs the assembly work of going to market: signals, research, verification, drafting, proposals, and reporting. We deploy it into the systems you already run. The agents, prompts, playbooks, and logs live in your tenancy. We install it, operate it with you, and train your team to own it. There is no platform to migrate to, no per-seat product to cancel, and no engine that leaves when an agency does.
The first production numbers
Small batches, measured honestly. The volume playbook sends thousands of emails from burner domains and books a meeting per few hundred sends. Precision inverts that.
The client sent fifty emails in one week and booked three qualified meetings with high-ticket prospects (a 6% meeting rate). High personalisation from real research, sent from the client’s own identity, every contact verified before a word was drafted.
We run Theo on our own business first. It runs on the same rails and guards, with the same human pressing send. The meetings that came out of it are how this page exists.
Multi-source verification, freshness-stamped signals, and off-ICP guards clean the list before the first draft, which protects deliverability and lets you send from your own domain.
The meeting isn’t the finish line. The same fleet carries the thread through to the proposal, the RFQ or RFT response, and the reporting, so booked interest becomes signed work.
How a Theo run works
Every run follows the same governed pipeline. The guards sit before the drafting, and the human sits before the send.
Five guarantees, enforced in the tooling
We build these as hard rails in the architecture and run the same rails on our own business every day.
Own the engine vs rent the stack
The outbound agency market runs on a rented stack of 2020-era SaaS (enrichment sheets, sequencers, secondary sending domains), bundled into $5,000+ monthly retainers with 3 to 6 month minimums. That generation of tooling predates frontier agents. This one doesn't.
Two ways to deploy it
As infrastructure in your tenancy (default)
The fleet is installed into your own cloud accounts and wired to your email, CRM, and databases from day one. We run it with you through your fractional deployed engineer, train your team, and document everything. You own the engine outright; we are the builders and superintendents, never the landlords.
Start with the feasibility evaluation →As a hosted pilot, then migrated
Where speed matters, the first campaigns run on our production infrastructure (same rails, same guarantees) while we prepare your tenancy. Once the evidence is in, the system migrates to you with history and logs intact. Same destination: you own it.
Talk through which fits →Either way, it's installed through the Horizon Method: each phase is scoped against your systems and data and priced before it starts, and a fractional deployed engineer operates it at $2,000/month, month to month, with everything exportable.
It pays for itself, then funds everything built on top
GTM is deliberately the first install, because it's the one that generates revenue in weeks. The new pipeline pays for the install. Then it funds, in order, the systems that need to exist underneath a scaling business.
Most AI engagements start with the plumbing and ask the client to fund months of groundwork on faith. We run it the other way: the go-to-market install produces revenue first, and that revenue underwrites the data foundation, the service-delivery systems, and the scale work. Each phase is fixed-priced through the Horizon Method and stands on the last.
Built on the frontier, improving daily
Theo runs on the current Claude 5 family (Fable 5 today), and the rails are model-agnostic by design: when a better model ships, the fleet adopts it without a rebuild. The system also improves itself operationally: agents build and refine agents inside the same governed workspace, with humans reviewing anything before it is promoted to production. The stack the outbound industry standardised on was assembled between 2020 and 2024, before frontier agents existed. The gap compounds every quarter.
Common questions about Theo and owned GTM infrastructure
What is AI go-to-market infrastructure?
AI go-to-market infrastructure is an agent system that runs the assembly work of going to market: signal monitoring, market research, lead verification, outreach drafting, proposal and tender assembly, and reporting. We deploy it into the systems you already run (your email, your CRM, your databases). You own the engine: the agents, prompts, playbooks, and logs live in your tenancy, and a human approves everything that sends.
How is this different from hiring a cold email agency?
Outbound agencies typically run your campaigns on a rented stack of 2020-era SaaS tools (enrichment platforms, sequencers, secondary sending domains), bundled into a $5,000+ monthly retainer with a 3 to 6 month minimum. That means $15,000 to $30,000 spent before you can properly evaluate results, and when the engagement ends, the engine leaves with the agency. Theo is installed into your tenancy as infrastructure you own. It works through your real email identity on both warm and cold relationships, is fixed-priced in phases with evidence at every gate, and stays with you, fully documented, if we part ways.
How is Theo different from a Clay, Smartlead, or Instantly stack?
Those tools each solve one slice (enrichment, sequencing or sending volume), and someone still has to wire them together, pay for each seat, and police what the stack does. Theo is one governed fleet built on current frontier models: research, verification, drafting, proposals, and reporting in a single system with shared context, deployed into your tenancy. No per-tool subscriptions to stack, and the governance is structural: guards before drafting, drafts-only outbound, read-only CRM by default, append-only log.
Is AI outreach compliant with the Australian Spam Act?
The architecture is built for it. Nothing emails itself. Output is drafts-only and a human presses send, which keeps a person accountable for consent, identification, and unsubscribe requirements under the Spam Act 2003 (and CAN-SPAM or GDPR where relevant). Off-ICP contacts never see copy because guards run before drafting, stale triggers fail loudly rather than firing, and the append-only run log means you can always answer why any message was drafted.
What happens to the system if we stop working with you?
You keep it. The infrastructure is deployed into your tenancy from the start, and everything in it (agents, prompts, playbooks, run logs, documentation) is yours with full export. Fractional deployed engineer operation is month to month. That's the structural difference between infrastructure you own and a retainer or subscription you rent.
Which AI models does Theo run on?
Theo runs on current frontier models, which today means the Claude 5 family (including Fable 5). The rails are model-agnostic by design, so the system improves as models do. Theo also self-improves operationally: agents building and refining agents inside the same governed workspace, with human review before anything is promoted to production.
Adjacent reading
GTM AI agents: the offer
What you get, what it costs, and how owned agents compare with agencies and SaaS stacks.
See the offer →AI for engineering & advisory firms
We apply the same governance rails to a compliance-grade vertical: the firm brain, ring-fenced tiers, and engineer sign-off.
See the vertical →AI Visibility Scorecard
Check how AI engines see your business today. That visibility is the demand side of the same GTM problem.
Check your visibility →