Corporate Training & Enablement
I run hands-on Claude and AI training that puts the tools inside the actual work your team does every day, then leaves behind the standards and structure that keep it working after I am gone.
Why most AI training fails
Most corporate AI training is a single session where everyone nods, feels inspired, and goes back to doing the work exactly the way they did before. Awareness without application is worse than nothing. It quietly teaches your team that AI is a demo, not a tool they can trust with real work.
Adoption does not come from a slide deck. It comes from reps on real tasks, a shared standard for what good output looks like, and the judgment to know where AI helps and where it creates risk. That is what I train.
What your team walks away able to do
What we cover
How these tools actually think, in plain language. Once a team understands what is happening under the hood, the guesswork and the fear both go away.
Getting reliable work out of AI is a skill with rules, not a lucky trick. Your team learns the patterns that hold up across real tasks.
The setup that lets AI work the same way for everyone: shared context files, reusable instructions, and a standard the whole team can run from.
Where AI fails, how to catch it before it costs you, and the simple governance that keeps a rollout safe.
Every program is customized to your team's real workflows and the tools you already use. Claude-first, with the surrounding stack as it fits.
Formats
A single team, one focused session on the work that matters most to them.
A structured cohort over several weeks. The deeper engagement, for teams making AI a real part of how they operate.
Retained office hours and standards upkeep, for organizations rolling AI out at scale.
Remote or onsite. Every format is a starting point, scoped to your team.
I do not teach AI in theory. I build production AI systems for clients, and I train teams using the same methods I use in real work. Before any of this, I spent 25 years in business and nearly seven inside corporate finance and marketing, so I know what it takes to get a tool actually adopted inside an organization.
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Questions teams ask
[ scope to answer ] Sessions are sized to keep them hands-on, not a lecture hall.
Both. Onsite for intensives, remote for ongoing enablement, your call.
Always. Generic training is the thing that fails. We build around your real tasks.
Claude-first, plus the surrounding stack your team uses to get work done.
We agree on what good looks like up front, and measure against the real work, not a quiz.
Let's talk
We will scope a program around your real work, not a template.