AI Agent
The GTM Engine is a bespoke, multi-phase agentic loop that handles the parts of outbound that are most painful to operationalise — finding the right accounts, doing real research, identifying the right stakeholders, and drafting outreach that actually lands.
Most outbound programs break down in the same three places. The GTM Engine closes all three gaps with grounded research, CRM-native workflow, and industry-specific judgment in one pipeline.
A list of 500 companies that vaguely "look like ICP" isn't a strategy. Reps default to spray-and-pray when there's no thesis.
Real research — selling model, comp structure, org chart, recent triggers — takes 45+ minutes per account. At scale, it doesn't happen.
When reps write every email from scratch, they default to templates. Templates get ignored.
The engine is a status-driven state machine in your CRM. Each phase is independently triggerable, processes a small batch at a time, and advances accounts through a clear pipeline.
Phase 1
The engine identifies target companies from credible industry sources, validates ICP fit, and writes a custom Prospecting Thesis for each account — a short, specific rationale for why this company, right now.
Phase 1.5
A grounded-search AI pipeline produces a multi-page research report on each account. Every claim is backed by live web sources. Status advances to Researched.
Phase 2
The engine reads the research, identifies the right stakeholders, creates contacts, and drafts a multi-touch outreach sequence. Tasks land in your reps' queues. Status advances to Stakeholders Identified.
A status-driven loop. Accounts enter on the left, advance through three agentic phases, and land as ready-to-send touches in your reps' queues — with CRM state updated at every transition.
Inputs
Agentic Pipeline
Output
ICP Config
Industry Sources
CRM Schema
Status
Prospected
Status
Researched
Status
Stakeholders Identified
CRM State Machine — duplicate-safe writes, audit trail, status transitions
Rep's Task Queue
Email Sequences
LinkedIn Touches
Each phase is independently triggerable, processes a small batch at a time, and runs on demand or on a schedule.
A pipeline you can inspect — every phase reviewable, every claim cited, every touch tied to a specific commercial trigger.
Loaded into your CRM with a commercial rationale — not just a logo and a website.
Multi-page reports grounded in live web sources, attached to each account in your CRM.
With rationale, contactability notes, and verified details where available.
Email sequences plus LinkedIn touches, due-dated and assigned to the right rep.
No duplicates, consistent statuses, and a clear audit trail of what ran when.
Every phase is reviewable, every claim is cited, every touch is tied to a specific commercial trigger.
You could stitch this together yourself. Each piece below is its own project. Getting them to work together — reliably, without polluting your CRM — is the actual work. The GTM Engine is the finished product.
Durable state and reliable phase handoffs across long-running, multi-agent workflows.
A live citation pipeline that ties every claim back to a real source — niche industry sources included.
Bidirectional, duplicate-safe write semantics. No half-finished state, no double-creation of accounts or contacts.
ICP logic, persona targeting, and messaging rules tuned to your specific commercial complexity.
Coordinates which accounts move through which phase, and when — with backup and recovery for multi-page artifacts.
For enterprise accounts that buy at the business-unit level — not just at the parent-company level.
Commercial leaders at specialty B2B companies with a field sales motion and real territory or crediting complexity — who are tired of agencies that deliver lists without theses, who want their reps closing instead of researching, and who care enough about their CRM not to want it filled with garbage.
If your outbound program is stuck at "we need better lists" — it isn't a list problem. It's a process problem. A tuned GTM Engine is the answer when the pieces around the SDR — research, prioritisation, messaging — are the actual bottleneck.
Setup is bespoke. Once configured, the engine runs on demand or on a schedule — and you don't run the stack, maintain the integrations, or keep the prompts current. That's the service.
We codify the fit signals, the persona map, and the messaging posture for your business.
Account, contact, and task schemas — wired with duplicate-safe semantics and clean status transitions.
Set the credible industry sources, citation rules, and recency thresholds the research stack should trust.
The engine runs on demand or on a schedule. Your reps work the queue. We keep the prompts current.
