Your team builds a working AI tool. In one day.
You pick the problem that quietly eats your team’s week — the intake backlog, the document review, the reporting grind. We put 3 to 6 of the people who live with it in a room, and together we build a working AI tool for exactly that.
Not a demo. Not slides. A tool your team built — and can run again without me.
This is the day for you if…
- Your people say “there has to be a better way to do this” about the same task every week. That task is the workshop.
- You have a recurring, document-shaped problem — intake, review, reporting, follow-up — that eats hours no one has.
- Your team has tried AI and nothing stuck, because nothing was built on your actual work.
- You want capability, not dependency — a team that can do this again, not a consultant on retainer for every change.
Four moves.
How AI actually works
The probability machine — what it’s reliably good and bad at. Every decision the rest of the day traces back to this.
The problem, taken apart
Your problem broken into steps — how to frame the task, assemble the context, and judge the output.
The build
Prompts, workflows, agents — whatever it calls for. On your systems, with your real data and edge cases.
The handoff
Why each piece works — and how the same team takes problem #2 through the process on their own.
What you keep.
- A working AI tool for a problem that costs you real time every week
- A team that understands AI — not from slides, from having built with it
- A repeatable method — the same people take the next problem through it alone
- Documentation: the tool, the prompt library, and the build notes, all yours
Built together means built to last.
A tool built for your team gets used until it breaks, then abandoned. A tool built with your team gets fixed, extended, and copied — because the people who run it understand why every piece is there. The tool is the deliverable. The capability is the point.
The honest answers.
What does it cost?
$4,500 flat for the day — scoping call, the full on-site build, and all documentation included. If you’ve done Executive AI Sessions, that $3,000 credits toward it.
Who should be in the room?
The 3 to 6 people who actually live with the problem — the ones doing the intake, the review, the reporting. Not just managers. The people who know the edge cases build the best tools.
What if we don’t know which problem to pick?
That’s what the fit call is for. The test is simple: which task makes your people say “there has to be a better way” every week? We’ll find it in twenty minutes.
Do we need technical people?
No. If your team can use a browser, they can build this. The method is designed for the people who do the job, not the IT department.
Is our data safe?
The build happens on your systems, under your logins, and part of the day is deciding what data belongs in which tools. We’ll sign your NDA before anything starts.
Where does it happen?
On-site at your office — the tool gets built on your systems, in your real environment. In person around Miami; farther afield, we scope it on the fit call.
Built Together is part of our AI consulting for small business.
One day. One problem. A tool your team keeps.
Start with a 20-minute fit call. Tell me the task your team complains about most — if a one-day build can kill it, we put a date on the calendar. If it can’t, I’ll say so.
Book a 20-minute fit call