AI Training

Learn day one.
Build day two.

Two days on site. Six to twelve of your high performers each turn a task from their own job into a working AI skill. Then four weeks of office hours turn those skills into a catalog your leadership can rank.

Where this fitsThe 4-phase transformationSee the model →
  1. 01Human-led innovation
  2. 02Skill codification
  3. 03Agent-led workflows
  4. 04Agentic departments

What’s not working

Your people got faster.
Your company didn’t.

We did the training. Nobody’s actually using it.

Training that’s all slides

People watch a demo, nod, and go back to doing the work by hand.

Only one person on the team knows how that works.

Wins that stay with one person

The few who figure it out keep it in their heads, so nobody else benefits.

We’ll get to it once things slow down.

No time to learn

The day job always wins, so the training slides to next quarter and the licenses sit idle.

How the two days work

Learn fast.
Build with us.

Little lecture, mostly keyboards. We build the first skill with you, then you build the next. Nothing goes home half-built.

  1. Day 1 · Morning

    Learn

    How AI creates value in real work: the tools, techniques, and workflows worth packaging. Beyond everyday assistants to reusable skills and agents.

  2. Day 1 · Afternoon

    Build together

    The first skill, side by side. Start from your team's real work, connect it to the right data, learn the method by shipping something useful.

  3. Day 2 · Morning

    Build

    Now you run it. Each person builds a skill around their own work with an instructor on hand. Make the decisions, test the workflow.

  4. Day 2 · Wrap-up

    Demo

    Connect what you built to your data, run it on real work, and show it live. No slides, no polished demos. Working skills your team uses Monday.

Then four weeks of weekly office hours to refine each skill and build the ranked catalog.

What you walk away with

Capability you keep,
built around your team.

A working skill each.

Every person leaves with a skill built on a task from their own job, tested on real input before they walk out of the room.

The method to build more.

They learn by building, so they can spot the next task worth packaging and build it themselves, without us in the room.

A ranked use‑case catalog.

Four weeks of office hours turn every skill and idea into one catalog, ranked by impact, feasibility and how far each one travels across the company.

A real ROI baseline on your own work.

Measured on the work your team already does, not on our benchmarks. We don’t hand you our number; we measure yours.

How it is vs. how it’ll be

Training vs. building.

“Typical AI training” AI Training
Format Slides and demos Hands on keyboards, in person
What people build Nothing A working skill each, on their own work
Who’s in the room Everyone at once Six to twelve high performers
What you keep A recording A skills catalog your leadership can rank
When value starts Someday Day two

The case study and the agenda

See how five automations got built by day two.

Leave a work email to read the full case study, how one manufacturer’s finance team got ~200 hours a month back in two weeks, plus the hour-by-hour agenda for the two days.

  • 5

    Working automations built by day two

  • ~200hrs/mo

    Capacity returned to the team

  • 2weeks

    From day one to the hours coming back

Questions

Questions, answered.

Who should attend?

Six to twelve people who already get value from AI tools and know their own work best. No coding background required.

Can you run it remotely?

No. The two days are in person. Office hours afterward are remote.

What happens after the two days?

Four weeks of office hours, then a ranked use-case catalog. Most teams move the top items into agent workflows next.

Which AI tools do you use?

We’re a Claude Partner Network member and a Microsoft partner, and we work with whatever stack you’re already on. We set up the tools before day one.