Half-day training
A focused session for a team or department that needs a fast, hands-on introduction: finding real use cases in the room and leaving with a first draft of a business case.
I train non-technical teams to find, build, and fund their own AI use cases, using their own work as the material, so everything they produce is about the job they already have.
Most AI training stops at the tools. The hard part is the distance between finishing a course and shipping something that delivers measurable value, and this program is built around closing that gap.
Every engagement follows the same repeatable arc: discovery before the room, a hands-on workshop where teams work their own use cases end to end, and sustainment after, so the work keeps moving once I leave.
Before any workshop I learn where the team actually is. Surveys and light pre-work surface the real pain points, and the material gets rebuilt around what I find.
Hands-on rather than lecture. Teams work their own use cases the whole way through, and at the end they pitch them to their own sponsors, the way you would pitch an investor.
After the workshop I track each use case toward development and run office hours to keep people unblocked.
Turn a vague frustration into a concrete problem worth solving.
Design how AI fits the real workflow, with a human in the loop where it counts.
Decide what to build, what to buy, and how fast you can get to something working.
Put numbers on it. This is the step that turns a good idea into a funded one.
Put it in front of real users and learn what the slides could not tell you.
Instrument the result so the impact is provable and the next move is obvious.
Every engagement is customized to where your team actually is. These are the shapes it usually takes.
A focused session for a team or department that needs a fast, hands-on introduction: finding real use cases in the room and leaving with a first draft of a business case.
A multi-week enablement program for a team that is ready to build. Teams work their own use cases from discovery through a capstone pitch to their sponsors.
Ongoing office hours and a change-champion network for organizations that want the habit to outlast the workshop. This is where adoption actually gets measured.
I do not just teach this. SodClaw, the agent orchestration system I run my own work on, and the pipelines built on top of it, are the same instincts this training teaches, applied to my own problems every day.
See what I build →These are the numbers I can stand behind. The teams did the work. My job was to give them a method, get the room safe enough to use it, and stay long enough to see it land.
Specific AI use cases surfaced across departments and business functions.
Person offshore operations workforce trained, driving a 200%+ turnaround-time improvement.
Operational functions enabled: HR, finance, legal and government affairs, supply chain, and marketing.
Years designing and delivering training in complex service-delivery environments.
You do not need a signed budget to start this conversation. Tell me what is slow, expensive, repetitive, or strange about how your team works today, and I will tell you honestly whether a workshop is the right next step.
No proposal, no sequence, no funnel. The message goes to my inbox and I answer it myself, usually within a day or two.