Hands-on training and strategy from someone whose day job is building AI agents inside a large enterprise — agents that take the clerical work off engineers and domain experts so they can do the smart work. If AI is the wrong tool, you’ll hear that first.
Daily AI use doubled in a quarter on the enterprise program he built and ran.
Jeff and his team build AI agentic systems inside a large, complex enterprise: agents that take clerical work off engineers and domain experts and give them back the hours for smarter work. He leads the AI strategy behind them.
It works because the person training your team does this work daily, under real constraints.
Train the team, set the strategy, build the agents, keep the habit going. Start wherever you’re stuck.
Your people learn AI on your actual work, not demos.
A short engagement that ends with a roadmap you own.
We build the agents that take clerical work off your experts.
Our 60-second animated series. One skill, one Monday action.
EP. 02 · 0:60 The Meeting That Could Have Been an Email
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Vendor-neutral. I train on the tools you already pay for — Copilot, ChatGPT, Gemini, Claude — and I don’t resell software, so I have no reason to push one.
No. Twenty minutes, no slides, no drip emails afterward. If you don’t need me, I’ll say so on the call.
One time sink. The report that eats Friday, the inbox, the quotes. A real example beats a wish list.
A straight answer: can AI help with that, and which route fits — a training session, a strategy sprint, or Clayton. Not a built system. That’s an engagement, not a call.
The call is free. Training, strategy and Clayton are fixed prices, and you’ll hear them on the call. Agent builds get scoped first and quoted after. No hourly meter.
Tell me where your team loses hours and I’ll tell you what AI can and can’t do about it.
Submit, pick a slot on the next screen, and it lands on both calendars with a Google Meet link.