“Last month I was just asking ChatGPT to write emails. Now I’ve built a client onboarding tool, and my team probably thinks I hired a developer.”
VP of Operations
Series B SaaS
Most corporate AI training is a slide deck people forget by Friday. We build the session around your team's real work, so they leave using AI on Monday — not just knowing about it.
Every person builds something real during the session and keeps it. You get hours saved in writing at day 30 and day 90.
Rated 5.0 on Trustpilot & Google
The Problem
Here is how it usually goes. Someone runs a session. The slides are fine. People nod. Two weeks later, three people are using AI and everyone else went back to doing it the old way.
That is not a people problem. It is a design problem. The session used made-up examples, so nobody could connect it to their own job. And when the session ended, the help ended with it.
We fix both. The training runs on your real files and your real workflows. And it does not stop on training day — your team can ask questions for the next 30 days, then we come back and fix what broke.
What You Get
Before day one, we read your docs, tickets, and decks. The training uses your files, not a demo dataset. People pay attention when the example is their own Monday morning.
Everyone starts together, then breaks into groups by job. Sales works on pipeline. Finance works on reports. Support works on tickets. Nobody sits through a demo that has nothing to do with their day.
Each person leaves with a working thing they built — a prompt library, a draft assistant, a report that writes itself. Not notes. A tool they will open again tomorrow.
Every prompt and workflow your team builds gets written down and handed over. New hires get up to speed from it. It does not live in one person’s head.
Your team can ask questions for a month after the session. This is where most training dies. It is also the cheapest part to include, so we include it.
We measure hours saved per person and write it up. You get something you can show your CFO instead of a feeling that it went well.
How It Works
Step 1
Thirty minutes. How many people, what they do all day, what you want different in 90 days. You get a written quote in two business days.
Step 2
We read your real documents and workflows, then build the session around them. Generic training is why people forget it.
Step 3
Half day or full day, onsite or virtual. Everyone builds something real and leaves with it working.
Step 4
Thirty days of support, then a session to fix what broke. We report hours saved at day 30 and day 90.
Packages & Pricing
We price the program, not the head count. Adding a few more people does not change the number.
One team, 5–25 people
Half day or full day
From $8,000
Two to four teams, 25–100 people
Multi-session over 4–6 weeks
From $18,000
Whole company, 100+ people
Phased over a quarter
Custom
Written quote within two business days of the first call. It lists what is included, what it costs, and what your team will be able to do at the end.
Who This Is For
Founders, CEOs, and operators who came in skeptical, left fluent, and stuck with it.
“Last month I was just asking ChatGPT to write emails. Now I’ve built a client onboarding tool, and my team probably thinks I hired a developer.”
VP of Operations
Series B SaaS
“Research that used to take me half a day now takes 20 minutes. Competitor analysis, market research, customer interviews - all transformed.”
Strategy Consultant
Management Consulting
“I finally understand what my engineering team is talking about. More importantly, I can spec out AI features without needing them in every conversation.”
Product Leader
Fintech
“The prompt engineering framework alone saved me. I was getting mediocre AI outputs for months. Now I get usable first drafts 90% of the time.”
Marketing Director
E-commerce Brand
I've built 20+ businesses and raised $8M+. I was always the “idea guy” who had to rely on engineers, designers, developers. Not anymore. Now I build anything I can imagine with AI—and I'm going to show you how to do the same.
A year ago, I couldn't write a single line of code. Today, I've built over 10 apps—all with AI. I don't teach theory. I teach you to build real things, fast.
Some people want to learn this themselves first. Others need it across a whole team. Both work.
Start with a self-paced course. Same material, same approach, one seat. You can always bring us in for the team later.
Book a scoping call. Thirty minutes, and you get a written quote in two business days. No pressure and no deck.
Book a Scoping CallCost, format, and what happens after the session ends.
Most corporate AI training runs between $8,000 and $40,000, depending on how many people you train and how deep you go. A half-day workshop for one team sits at the low end. A full rollout across several departments, with follow-up coaching, sits at the high end. We price the whole program, not per head, so adding a few more people never blows up the budget. You get a fixed number on the first call.
It usually works out to $150 to $600 per person. The bigger the group, the lower the per-person cost. A 40-person rollout costs far less per head than a 10-person workshop, because the build work is the same either way. If you want a per-employee number for a budget request, ask on the call and we will write it out for you.
Book a call. We will ask three things: how many people, what work they do all day, and what you want to be different in 90 days. That is enough to send you a written quote within two business days. The quote lists what is included, what it costs, and what your team will be able to do at the end.
Yes. Support teams are one of the fastest groups to train because the work is repetitive and well documented. We build the training around your actual tickets, macros, and knowledge base. Reps usually leave with drafted response templates, a triage assistant, and a way to summarize long threads. Same approach works for sales, marketing, finance, and operations.
Either. Onsite works better for groups under 30 because people help each other in the room. Virtual works better when your team is spread across time zones, and it lets us record everything for people who join later. Cost is close to the same. Onsite adds travel.
That is the normal starting point. We do not assume anyone has opened ChatGPT. The first session gets everyone to the same baseline, then splits the room by role so people work on their own tasks instead of a generic demo. Nobody gets left behind and nobody sits bored.
Your team ships something real during the training itself. That is the point of building on their own work instead of a sample project. Within 30 days most teams report saving three to eight hours per person per week. We check in at 30 and 90 days so you have real numbers, not a feeling.
Most corporate AI training dies here, so we built for it. You get 30 days of async support, a written playbook of the prompts and workflows your team built, and a follow-up session at day 30 to fix what broke. Teams that skip the follow-up lose about half the gains. Teams that keep it hold onto them.
Thirty-minute call. Written quote in two business days. If we are not the right fit, we will say so.
Get a Quote