GTM principles first, then AI on top: prompting, tools, MCP and review standards. Your team learns to run the systems properly on your own stack, so the capability stays in-house after we step back.
Sales and marketing teams who want to use AI and GTM tools properly rather than bolt them on. We teach the operators who'll run the work day to day.
That's the point — we teach you to fish on your own stack with review standards built in, so the workflows keep working and improving without ongoing dependence on us.
AI system · We teach you to fish
We teach your people the GTM processes first, then how to put AI on top of them: prompting, tools, MCP and review standards. Not vendor-locked, not theory. We teach you to fish, so it keeps working after we step back.
Why it matters
AI amplifies whatever process it sits on. Put it on a broken process and you get a faster broken process. You cannot automate a process you do not have. So we teach the GTM principles and design the processes first, then layer the AI on top, with your team holding the controls.
Process first. AI second. Your team in charge.
What we teach
How it works
We do not start with tools or slides. We start with where your team actually is, and we move forward from there.
We start with a process audit, not a training deck. We map what your team currently does and where the gaps live: broken handoffs, missing qualification, no cadence. That map drives everything that follows.
We design your GTM motion on paper before we automate a single thing. ICP definition, stage gates, outbound sequencing, scoring. Your team builds it alongside us so they understand the logic, not just the buttons.
Once the process is solid, we bring in AI: prompting for research and personalisation, tool workflows, MCP integrations where they add speed. Every AI output gets a human review gate before it reaches a prospect.
We do not hand you slides and leave. We run live sessions, review real campaigns, and debug real output. Your team learns by doing, on your actual pipeline, with us in the room until they are confident.
Every process gets a written playbook your team can maintain. We step back when we are confident they can improve it on their own. Not on a fixed timeline. When it is genuinely ready.
What is included
We scope the engagement to your team and your stage. These are the building blocks we draw from. Not every engagement uses all of them. None of them are extras.
Where it breaks
Most AI training fails before the first session ends. The problems are structural, not motivational. We built our approach around avoiding them.
AI fluency on top of a broken process does not fix the process. It speeds up the broken parts. We refuse to start with AI until the underlying motion is documented and understood.
Most "AI training" is a paid onboarding session for one platform. When you leave that platform, the knowledge goes with it. We teach principles that transfer across tools.
A workshop produces energy, not retention. The research on skill transfer is clear: without repetition on real work, most of it is gone in two weeks. We run over weeks, on live pipeline.
The goal is pipeline. AI is one way to get there faster. Teams that chase tool adoption as a metric miss this. We measure training success by what the team ships, not by which tools they opened.
Who it is for
We work best with teams that are already doing something, even if it is not quite working. We are not a fundamentals course. We are a hands-on engagement for teams that need to move faster, more deliberately.
You are doing parts of outbound yourself and you need your first hire or two to carry it without you. We build the process they follow and teach them to run it.
You have a team but no shared process. Everyone does it differently. We give you a single motion the whole team runs, with AI layered in where it earns its place.
You have been running outbound with an agency or a contractor. You want to bring it in-house without losing momentum. We design the transition and train the team that takes it over.
You own the tooling and the process documentation. You need help building the AI layer on top of what you already have, without ripping out the stack.
How it ends
The goal is your independence, not your dependency. Every engagement ends the same way: with your team owning the systems and able to improve them on their own.
We build the processes and systems with you, on your own stack.
We teach your team to run them and to improve them over time.
You own it. It keeps working after we step back, not before.
Frequently asked
If something is not answered here, ask it on the call. We prefer direct questions to long discovery processes.
Most engagements run four to eight weeks, spread across live sessions and async work. The timeline depends on how much process we need to build before we start the AI layer. We do not compress it to hit a fixed date.
We need read access to understand what you are working with, not to change anything. All build work happens in a sandboxed environment first. You control what goes into production.
Yes. Starting from a clean slate is often easier. We do not have to undo habits or retrain muscle memory. We design the process from scratch and build fluency alongside it.
We work with your existing stack where possible. We are not tool-agnostic as a principle, but we are not affiliated with any vendor. If a tool you are using is the right one, we build on top of it.
Courses teach concepts. We run the process on your real pipeline, with your real ICP, in your real tools. The output of our engagement is a working motion your team owns, not a certificate.
You have a written playbook, a trained team, and recorded sessions. If something breaks or you hire someone new, the documentation is there. We do not build dependency into the engagement by design.
Pairs with AI Roles
Training is how ownership actually sticks: we install the systems, then teach your people to run and improve them.
Book a 15-minute call. Tell us where your team is now and we will show you what training would change, and how fast.