From the service wall
scope, price, finish line
Role-based training that ends in working prototypes, not certificates of attendance.
The roster
sound familiar?
VPs and directors of marketing, operations, product, or data whose teams hold AI licenses but not AI habits. You want the tools used, not just paid for.
You’ve bought training that trained no one. You want a program your teams still use a month later.
The CEO or COO who greenlit the AI budget and wants visible proof it landed. Demo day exists for you.
The finish line
what you keep
Proof
measured, not claimed
A real Hands-On AI Bootcamps engagement, led by the number that moved. We publish nothing we didn’t measure.
6 figures
Recovered in 8 months
Construction
A Chicago construction company started with an AI bootcamp and a workshop, then retained us to build the system the training pointed to. An automated invoice-chasing workflow delivered a six-figure return within eight months.
Job ticket
specifics, in writing
Job ticket
The curriculum
reps, not lectures
Your people sign in to the accounts you already pay for and run small, live exercises until the basics are muscle memory. That footing carries the rest of the bootcamp.
The room splits by role: marketing, operations, product, data. Each track works the use cases that fill that team’s actual week.
Each team picks one system from our seven-build list (two if the reps run fast), matched at kickoff to the problems you name. They build it end to end in their own AI tools: deep enough to own the craft, never a race through the catalog.
The bootcamp ends with demos, not a quiz. Each team presents the system it picked and built, and leadership sees exactly what stuck.
Everything built gets documented: prompts, workflows, guardrails, and the reasoning behind them. The playbook leaves in your hands, written so your team can rebuild what it built on its own work, then keep working down the list.
The engagement doesn’t end at the demos. For a month after, we answer questions, debug rebuilds, and keep the reps going.
Packages
no mystery pricing
One team, one bootcamp, one demo day. The proof-of-concept run.
Every team in one function, trained in sequence on a shared playbook.
A scheduled series across departments, with leadership working sessions between cohorts.
Numbers on the first call. No discovery-call maze.
After we ship
we answer the phone
Every bootcamp includes 30 days of async support after the final demo. Your team keeps a direct line to us for questions, prototype fixes, and the edge cases that only show up in week three. The playbook we hand off is written for the people who missed the room, so the skills spread instead of stalling.
Most corporate AI training fails the Monday test. People enjoy the session, collect the certificate, and a week later the tools sit exactly where they sat before. We built this bootcamp against that outcome. Nothing in it is watch-and-nod: every hour puts hands on keyboards, and every exercise ends in something that runs.
The arc is deliberate. Fundamentals come first, taught inside the tools you already pay for (we vet the stack before day one and say so if something better exists), because a skill learned in a sandbox dies in the sandbox. Then the room splits into role tracks and the conversation turns specific: your campaigns, your tickets, your reports. By the time the build starts, people aren’t learning AI anymore. They’re using it. Every team picks one system from our seven-build list (two if the session runs hot) and builds it start to finish in its own accounts. The builds are drilled, so they land inside the time box, and the point is depth: own one build completely rather than sprint past seven.
We end with demos because demos change what a company believes. When an operations lead shows the room a working system they built themselves, AI stops being a hypothetical. That is the human-first promise made visible: every prototype augments the person who built it. Zero people replaced. We intend to keep it that way.
Habits form in the weeks after, not the days during, so we stay reachable for 30 days while your team rebuilds the systems on its own work: async answers, fixes when a rebuild meets a messy real case, and a clear call on what deserves a full automation build next. When the month is up, your team isn’t waiting on us.
FAQ
asked at the counter
Multi-day, role-based training where your teams learn AI inside the tools they already use and finish by building working systems end to end, ready to rebuild on their own work.
Whole teams, grouped by role: marketing, operations, product, data. Leadership joins for demo day at minimum. There are no prerequisites, so nobody has to sit out.
No. If they can write an email, they can do everything in this bootcamp. Technical roles get a deeper track, so nobody is bored and nobody is lost.
Yours. The curriculum is built around the stack you already run and the licenses you already pay for. Still choosing tools? We’ll help you pick before we train.
Yes. Four half-day remote sessions cover the same arc as two days on-site, and the build stays fully hands-on. Remote works when the sessions are designed for it, and ours are.
Teams pick from our seven-build list: an inbox triage and daily-digest agent, a runbook that turns messy data into a finished reporting pack, a campaign variation generator, an automated status-report generator, a reusable analytics dashboard, a local file Q&A tool, and a shareable ROI calculator. Each team builds one end to end (two when the reps run fast) in the AI accounts you already run. Whatever they build, they keep.
Courses teach tools in the abstract and end in certificates. Here your teams build working systems start to finish in their own accounts, live with an instructor, and demo them to leadership on the final day. Nobody watches videos.
Bootcamps are fixed-scope: one agreed price for the cohort, set before we start. Tell us team size and format on the first call and you’ll hear numbers on that same call.
In their words
We rolled out Copilot licenses last year and adoption sat under 20%. By the end of day two, my team had built five working prototypes on our actual processes. A month later, three of them run daily and people keep building new ones. Easily the best training budget we've spent.