For revenue leaders
Your AI sales tools produce junk
You bought the tools, the demos were good, and the output still reads like it was written for someone else's company.
What is usually wrong underneath
The tools are rarely the problem. An AI sales tool writes from the data it can reach. If that is a shared contact database and a thin CRM record, every one of its customers gets the same output you do.
What makes output specific is proprietary context: which deals you won and why, what you charged, who bought, and what they said. In most mid-market companies that context is spread across the CRM, spreadsheets, call notes, and people's heads. No tool can read it.
There is also an ownership gap. Sales tools come from the revenue budget and infrastructure comes from IT. Making the tools you already bought work sits between the two, so nobody owns it. The renewal arrives before anyone has fixed the foundation.
What we would build for this
By area of work: Foundation and governance; Pipeline creation.
- Proprietary context layer. Win history, pricing, and customer records modeled so the AI tools you already bought can read them.
- Signal-based account intelligence. Account triggers from your own sources, so outreach reaches high-value accounts at the right moment.
- Recovery after an AI SDR that failed. Infrastructure under your outbound, not another autonomous SDR, for teams burned by one.
- AI-ready data foundation. One account hierarchy, deduplicated records, and enrichment built for AI to consume, not only for reports.
- Intent data that reaches reps. The intent data you already pay for, routed to the right seller with context.
- Governance that fires. Routing, process, and data rules enforced by the system, not by reminders.
The Pipeline Diagnostic
Every engagement starts with a fixed-price diagnostic. You keep the findings whether or not you continue.
The price is fixed per diagnostic and quoted on the first call.
What you walk away with
- A map of your revenue data and the points where it breaks
- A ranked list of fixes, each with the evidence behind it
- A review of what your current AI sales tools can and cannot see
- A scoped build plan you can run with us or without us
How it works
We read your CRM, enrichment, and sequencing data through scoped, read-only access, interview the people who run the tools, and trace where pipeline is lost between systems.
Data access
Read-only service accounts on credentials you own. Access is time-boxed, logged, and revoked when the diagnostic ends.
Who it is for
- Revenue leaders with a CRM and at least one AI sales tool in production
- Teams with an outbound motion and a named owner for revenue operations
- Revenue leaders in their first 120 days
Who it is not for
- Companies looking for an outsourced SDR team
- Teams without a CRM in production
- Anyone who wants a tool recommendation without touching their data
What happens after the diagnostic
Build. We build the ranked fixes inside your systems, on credentials you own. The person who runs your diagnostic leads the build.
Managed operations. If you want us to run the layer with your team, we do, under the same documentation you hold.
Migration. When a platform change is forced on you, we carry the rules that matter across and drop the ones that do not.
Ownership. You keep what we build: the data models, the workflows, and the documentation. Nothing depends on us staying.
Objections, answered
Should we replace the tools instead?
Not necessarily. A new tool reads the same data the old one did. We start by finding out what your current tools can and cannot see. A diagnostic can end with a recommendation to cancel a tool, or to give the tools better data.
Will my CRM's built-in AI do this soon?
Partly, yes. Native CRM agents already handle summaries, basic scoring, and standard routing well, and they will absorb more. They work on the data inside the CRM. They do not model your win history, your pricing, or the sources that live outside it. That proprietary part is the layer we build.
Why not hire a GTM engineer?
If you can find and keep one, do. A strong GTM engineer is the right long-term answer for many teams. The work stalls when the role takes months to fill, or when one person becomes the only one who understands the system. We build the layer, document it, and hand it to whoever you hire.
Why not a retainer agency?
A retainer agency is a good fit when you need workflows run for you each month. It is a poor fit when the problem sits in your data model, because a retainer has no reason to fix the foundation and leave. We price the build as a project, and you keep what we build.
What access do you need?
For a diagnostic, read-only service accounts on credentials you own. Access is time-boxed and logged, and you can revoke it at any moment. Write access is scoped per area of work during a build and only with your approval.
Who will do the work?
We do. The person who runs your diagnostic leads the build that follows.
What happens if you are unavailable?
You own everything we build: the data models, the workflows, the documentation, and the credentials, all in your environment. Your team or another firm can run it without us.
Terms used on this page
Start with a fixed-price diagnostic
It begins with a free 45-minute call that commits you to nothing. You leave the diagnostic with a ranked plan you can run with us or without us.