The answer you asked for,
and the half worth your time.
Two buyer sets that do not behave alike.
From outside the gap reads as distribution, not credibility.
Build. Run. Own.
Build
We design, staff and stand up the complete unit. The named-account data, the messaging, the outbound engine, the automation and the reporting.
Run
We run it in market for a fixed four months and prove it on real booked meetings, not slides. First conversations land early.
Own
We hand over the playbook, the tooling, the dashboards and a trained operator. You own the engine.
What the build actually is.
The named-account layer
Roles first, companies second. We identify the people who own AI delivery and engineering capacity inside each target company and verify them one at a time, rather than buying a list and hoping.
The outbound unit
Copy, sequencing, sending infrastructure, reply handling and reporting, run as one system with a named operator sitting inside it from day one.
The handover
Four months in, the machine, the data and the operator are yours. No permanent dependency on us, which is the entire point of the model.
Every message, written for one real person.
Target
We build the target list from the seats that own AI delivery and engineering capacity, verified one company at a time, never bought as a file.
Personalize
AI reads each profile and writes a unique message. No templates.
Hand off warm
A positive reply pings you and your operator with the prospect and a way to reach them.
You take it from there
You take pre-qualified conversations. The engine handles everything before it.
This is a distribution build, not a headcount one.
Capacity without a hire
The unit is designed, staffed and run by us for four months. If it does not work you did not hire anyone. If it does, you inherit a working function and a trained operator.
It is a role problem
The buyers are seats, not companies, and seats turn over constantly. Reaching them is an identification job repeated every week, which is exactly the work a machine should own.
Handover is the deliverable
We are not trying to become a line on the org chart. The engagement ends with you owning the engine, the data and the process.
Numbers from live campaigns, not projections.
Enquirer AI helps us identify the right people and start the conversation in a much smarter way.
You own it at the end. That is the difference.
Stand up fast. Prove it. Then scale.
Build
The named-account data, the messaging, the engine and the dashboard. Day-one capacity from warmed assets and managed seats.
The test
Run against the KPIs we agree up front. First meetings on the calendar early.
Ramp
Once the numbers hold, ramp the seats and breadth to the volume you want.
Hand over
Playbook, tooling, dashboards and a trained operator. The engine is yours.
Let's see if the mechanism fits.
- A short call with Matthew, 20 minutes, at a time that works for you.
- Matthew brings the named accounts and the exact people we would start with. You tell us if the list is right.
- If it fits, we agree the scope and a start date. If not, you keep the read.