Built to pass the meeting after the demo.
For regulated and enterprise buyers, the deployment model is the product. Five facts, in plain language.
Your workspace, your tokens.
The work arrives in your own AI workspace, and anything that touches your systems runs there, on your own connectors. We never hold a credential to any of your systems. None exists.
The Mabry engine, one interface.
The engine runs on our side. It reads public sources and the lists you give us at setup, then delivers finished work (signals, drafts, account plans) through a single scoped connection. Your conversations never leave your workspace; we can't read them.
A human approves everything.
Nothing reaches your CRM or a mailbox without someone on your team clicking approve. Enforced in the system, not by policy.
You hold every key.
Access is granted by you and revocable by you: two switches, both on your side. Your data was never anywhere else to begin with.
Write-only, zero read.
The connection into your CRM creates records. It cannot read them. Your security team can check that in the app's permissions in a minute.
"LLM-agnostic by design: the engine works with whatever model agreement you already have."
One ledger. Every action, exportable.
Every signal, draft, approval, edit, and suppression is logged with its time and its result. Export the log whenever you want. "Why did we contact this person?" is one query, not a week of archaeology.
- A person approves every send
- Contact caps and suppression enforced in data
- Destroyed at term end, confirmed in writing
What buyers ask us first.
Who owns what?
+
Clean split: you own your data, your systems, your playbook content, and every record that lands in your CRM. The engine keeps only what the work needs (signals, sources, drafts, and the action log), in US regions, and destroys it at term end, confirmed in writing. We own and operate the intelligence engine that powers it. That's the point: it stays current as the market shifts, and you never have to maintain it.
Is this consulting or software?
+
Both. The Mabry Signal Network is our software. We design your motion, deploy the platform into your systems, and run it. You get a platform without running it and an operator who answers for the result.
Will AI send emails on its own?
+
Never. Human-gated by design. Nothing reaches your CRM or a mailbox without a person on your team approving it, and the gate is enforced in the system, not on the honor system.
Why is there an ongoing fee?
+
Because the system doesn't stand still. Signals run continuously, the engine is tuned as your market moves, and a managing partner stays embedded as your SME. One-time builds decay; operated systems compound. If you ever stop, your data and systems are already yours. Offboarding takes minutes, and every step is on your side.
What happens in the first working session?
+
We take your most important revenue motion and show you what it looks like rebuilt, signal to measure, before you spend a dollar.
What does it cost?
+
Every engagement is fixed scope and fixed fee, quoted before any work starts. The first working session is free, and it is where we scope. If a diagnostic is the right first step, you will know the number before you say yes.
What if you're not the right fit?
+
We'll tell you on the first call.
How is this different from hiring an agency or buying an AI SDR tool?
+
Agencies rent you activity; tools give you seats. We architect the motion and run the engine behind it, in your stack, on your data, with a human gate on every send.
How are you different from a strategy firm, or an automation agency?
+
Strategy firms design and leave; agencies build what you spec without questioning the spec. We do both halves as one engagement: the people who architect the motion are the ones who build, ship, and operate the systems, and we stay accountable to what those systems produce.
Which AI models and tools do you use?
+
We're LLM-agnostic and ecosystem-first. We architect around your existing stack: your CRM, your data layer, your security requirements. The engine runs one model provider at a time: Claude by default, any OpenAI-compatible endpoint, or Gemini. One is pinned per client, so your security team reviews one model agreement, not five. Build-vs-buy is an analysis we run, not an assumption we make.
Who actually does the work?
+
The people who designed it, on our platform. No leverage model, no hand-off to a bench after the sales call. That's also why we take fewer clients. Depth over volume is the operating model, not a tagline.
How does an engagement usually start?
+
Almost always with a diagnostic: the GTM Diagnostic Sprint for growth-stage companies, the Agentic Readiness Assessment for enterprise. Fixed scope, fixed timeline, and you own every deliverable whether or not we go further together.
How do you handle security, data, and governance?
+
Governance is designed before deployment, not after an incident: permissioned and auditable API connections, agents gated to draft-and-identify while humans execute final actions, human gates on CRM ingestion, and no autonomy setting to change. If your security team wants to review the architecture, good. That's the meeting we build for.
Do you work alongside our existing team and vendors?
+
Yes. That's the default. We build with your RevOps, IT, and enablement teams so the capability transfers, and we're comfortable operating alongside your agencies and systems integrators. The goal is a system your team runs confidently, not a dependency on us.
What does the platform never do?
+
Read your CRM. Send anything on its own. Hold your credentials. Score by hand. Invent a fact, a person, or a number. Promise a volume.
Should we build AI agents, buy them, or have someone operate them?
+
Buy the systems of record. Build what is yours: the playbook, the rules. Operate the intelligence layer: a platform that watches, researches, and drafts inside your systems, under your approval, run by people who answer for it. We wrote the comparison.
Bring us the motion that matters most.
In one working session, we'll show you what it looks like rebuilt, signal to measure, before you spend a dollar. If we're not the right fit, we'll tell you on the first call.