Your team has AI.
They still work like they don't.
Most GTM teams are not behind on AI because of the models. They are behind because no one gave them the foundation. This workshop fixes that, then puts it to work on a workflow that is actively costing you time.
The reason most teams stall on AI is not the models. It is the foundation no one taught them: where context lives, how to organize it, and which tool does what. Prompts are the easy part.
Four signs your team has AI, but not leverage.
You bought the tools. Nothing changed.
The seats are paid for. The team tried it a few times, got generic answers, and quietly went back to the old way of working.
The output does not sound like you.
Generic, off-brand, sometimes just wrong, because the AI has no context on your ICP, your positioning, or how your team actually operates.
It is trapped in one person's head.
Someone found a clever prompt. It lives in their chat history. Nothing is written down, nothing is repeatable, nothing scales to the team.
You do not know where to start.
Drowning in tool lists, prompt threads, and hot takes. With no foundation, every attempt starts from zero and fizzles by Friday.
Foundation first. Then a real build.
Set the foundation
The part every other AI training skips, and the reason theirs does not stick. The right stack and what each tool is for, the context files AI reads so it finally sounds like you, one source of truth instead of scattered tabs, and a folder system so work is findable and reusable.
Covers: The stack · Context is the brain · Your source of truth · Folders and files · The operating principle
Solve one real workflow, live
We pick the workflow costing your team the most and rebuild it with AI in the room. One real automation, vibecoded together, not slides. This is where it stops being theory.
The loop: Solve · Stack · Split
Leave with it working
The foundation is set up and one workflow is solved. Your team can run the same loop on the next one, without waiting on you or an engineer.
- ✓Your AI foundation set up: context, folders, and the right stack
- ✓One real workflow solved with the right tools, built in the room
- ✓The confidence to do it again, without an engineer
- ✓A 30-day plan to run the loop on the next workflow
Three ways to run it.
Up to about 15 people, on-site or virtual. Hands-on. Your team sets up the foundation and leaves with one workflow solved.
A keynote on the AI-native shift for the org, plus the hands-on build for the GTM team.
Remote teams, run over a few live sessions so people set up their foundation and build between them.
Curious if this is right for your team?
Fifteen minutes will tell. We will find the workflow worth solving and see if there is a fit.
Book a fit callWho is this for?
GTM teams, founders, and operators who have AI tools but are not getting real leverage from them. No technical background needed.
Do we need engineers?
No. The whole point is that your GTM team can build without waiting on engineering. We use AI and no-code tools your team can own.
What do we actually walk away with?
Your AI foundation set up (context, folders, the right stack), one real workflow solved live, and a 30-day plan to run the loop again.
How big can the group be?
Team workshops run best up to about 15 people, hands-on. Company sessions pair a keynote for the wider org with the hands-on build for the GTM team.
On-site or virtual?
Either. Half-day and full-day sessions work on-site or virtual. Remote teams often prefer the multi-session cohort.
How do we start?
Book a 15-minute fit call. We pick the workflow worth solving and lock a date. Most sessions run within two to three weeks.