An AI bootcamp for executives: build one real workflow before you bet the budget.
Most executive AI programs are lectures and case studies. They are good for vocabulary. They rarely prepare a leader for the questions that arrive the following Monday. Which of our workflows is worth automating first? What will it cost to run? Can our people maintain it, or are we signing up for a consultant forever? What data are we allowed to send to a model?
The fastest way to calibrated answers is to build one workflow yourself, on your own business, with an experienced builder next to you. Below is what that kind of program should cover and how to choose one.
What an executive AI program should leave you able to do.
Judge any program, ours included, by whether you could do these six things afterward without calling a vendor.
Spot an inflated AI claim
Know what current models do well, where they fail, and how they differ, well enough to push back on a pitch deck.
Pick the first workflow
Rank your workflows by return and pick the one or two where AI actually moves a number. It is easy to start with the wrong one.
Know what a build involves
Once you have deployed a site, wired up a database and connected an agent yourself, a six-month quote for a simple internal tool reads differently.
Set data and access rules
What can go to which model, who sees what, and where a human signs off before anything reaches a customer.
Train or hire
When an outside consultant is the right call, and when the capability belongs in your own people. We wrote an honest comparison.
Make it stick
A weekly and quarterly rhythm so the tools your team builds are still in use six months later.
What a leader could build in the room.
Examples scoped to what the curriculum covers. Your build runs on your own business.
Monday numbers brief
Your weekly numbers land in a database. Claude writes a short brief on what moved and the likely reasons, and it is in your inbox before the first meeting.
Inbox triage
Incoming email is sorted, prioritized and answered in draft. Nothing is sent until you approve it.
An exception watcher
AI watches activity across the business and surfaces only what needs a person. RoverPass, an Austin company, runs an ops command center built on this pattern.
Illustrative examples, not alumni projects. Read the RoverPass case study (disclosure: its CEO co-founded MakerSquare).
Three ways leaders do this with us.
Your leadership team, 3 days
A private workshop for you and your direct reports, built around your own tools and workflows. You leave with working automation and a clear view of what to build next. Custom quote, written proposal within 24 hours.
A custom program
Sequential cohorts of 3 to 15 people, one team at a time, each building a tool for its own function. Scoped with you before anything is scheduled, on-site or in Austin.
The 2-week cohort
Ten days in Austin alongside founders and operators, $3,999. Two weeks out of the office is a lot to ask of a senior leader. The ones who do it tend to be founders or operators who want to build personally.
How to choose an AI program as an executive.
- Will you touch the tools?If the agenda is all talks and panels, you will leave with opinions and no calibration. One afternoon of building teaches more about cost and risk than a week of slides.
- Is the material your business or someone else’s?Case studies about large companies are interesting. A workflow from your own operation, built in the room, is what you can act on.
- Is governance specific?Ask how the program handles proprietary data. A real answer names tools, retention settings and review steps.
- Does your team come too?A leader who learns alone comes back to a team that has not. Programs that train the leadership group together move faster afterward.
- What is left behind?Look for documentation, a maintenance guide and a prioritized list of what to build next, so the work continues after the trainers leave.
When university executive education is the better pick: if you want a recognized credential, a peer network from large companies, or board-level strategy framing, a business school program will serve you better. We are the option for leaders who want to build.
Built in Austin, delivered at your office or ours.
Private workshops and custom programs are quoted per engagement, with a written proposal within 24 hours of the first call. Everything your team builds belongs to your company. Individual seats in the 2-week cohort:
- 2 weeks, Monday to Friday, 9am to 3pm, in person in Austin
- $3,999 tuition, paid in full ($3,499 with the scholarship for veterans, first responders and educators)
- Next cohort starts January 11, 2027; enrollment closes January 4
- Small cohort, with an instructor in the room all day
- Ship a live website, a working AI agent and an automated workflow, or a full refund
- Demo Day on the final Friday, in front of Austin’s tech community
AI training for executives, answered.
Is there an AI bootcamp just for executives?
Our public 2-week cohort mixes founders, operators and professionals. For a leadership-only group, we run private 3-day workshops and custom programs for your team. See corporate training.
Do executives need a technical background?
No. The only requirement is knowing your business well. We provide the technical layer, and you direct the tools in plain English.
How much does executive AI training cost?
A seat in the 2-week cohort is $3,999. Private workshops and custom programs are quoted per engagement based on team size, length and how custom the build is, with a written proposal within 24 hours.
How do you handle our proprietary data?
We work within your security requirements: on your infrastructure, with AI tools that do not retain data, or under whatever rules your legal and IT teams set. We settle this during scoping, before anything is signed.
Start with one workflow.
We will help you pick it.
Book a 45-minute call. Bring the process that eats the most hours, and we will tell you what a first build would look like.