PwC analyzed over a billion job advertisements across twenty-seven countries.
Jobs requiring AI skills pay a 62% premium over the same role without them.
Two years ago that premium was 25%.
And when they looked at what AI actually rewards, the answer wasn't coding.
It was judgement, creativity, and leadership.
The skills you already have. Lean & AI Mastery gives you the translation.
Whether you're a Lean practitioner wondering what agents can actually do for your workflows, or a technical professional wondering why your automations never stick — same room.
Plan-Do-Check-Act becomes your agent's iteration loop. Jidoka becomes its human handoff. Input, process, output, feedback becomes agent architecture. You're not starting over. You're translating.
Plan-Do-Check-Act becomes your agent's iteration loop. Visual management becomes dashboard monitoring. Kaizen becomes continuous prompting. Jidoka — stop the line and call a human — becomes your human-AI handoff. Every space here does the same thing: takes a management principle you already use and shows you its AI equivalent. You're not learning a new discipline. You're pointing an old one at a new target.
Download Agent-in-a-Box and operate your own proactive AI assistant — locally or hosted. Import ready-built n8n workflow JSON and edit automation you can actually see. Configure real integrations: email, Slack, calendar. Set your agent's proactivity level. Most communities hand you information. This one hands you working systems.
We're not here to trade prompts. The focus is AI that executes — Claude Code, Agent-in-a-Box, OpenClaw, Hermes, n8n agents, Copilot. Tools that take action while you're not watching. Which is precisely why process discipline matters more here, not less: an agent that acts without a control loop is a liability — and control loops are what you already know how to build.
Learn the tooling with Claude Code. Operate a real proactive agent with Agent-in-a-Box. Build the thinking across three full courses and fifteen modules — from the Viable System Model, through A3 and PDCA, to workflow design and your first AI-enhanced process. Then architect your own agent for your own business in the advanced workshops. Each rung stands on the one below it, and the curriculum keeps growing.
The honest objection to any AI training is that it'll be obsolete in six months. That's true of a course. It isn't true of a space that introduces, teaches and supports each new tool as it lands — OpenClaw and Hermes today, whatever ships next quarter after that. You're not buying a snapshot. You're buying a place to keep up from.
Most AI training starts with tools and hopes strategy shows up later. This starts with the thinking, ends with a working implementation plan, and treats the tools as what they are — the last mile.
Why an AI agent is not a new idea, and what that means for how you manage one.
Turning management frameworks into instructions a machine can follow.
Seeing the work clearly enough to automate the right part of it.
The curriculum keeps growing. New modules and short tutorial videos are added as the field moves.
| The course teaches | The space lets you do it |
|---|---|
| The Viable System Model and agent architecture | Agent-in-a-Box — run a real proactive agent |
| A3 → PRD → agent brief | Claude Code — direct an agent against a real codebase |
| Workflow design and waste | n8n — build it visually, import the JSON |
| Implementation planning | Advanced workshops — architect your own for your business |
The courses are the theory. The spaces are where you run it. Neither works alone — which is why they're in the same place.
Twenty-five years turning complex requirements into working systems: asbestos mass tort at Owens Corning, then translating FINRA regulations directly into trading algorithm specifications at Knight Capital.
Then twelve years at NYC Health + Hospitals — the largest public health system in the United States — as Lean Deployment Officer and Chief Innovation Officer across a twenty-five-site care network, and Associate Executive Director at Metropolitan Hospital.
Co-author of the opening chapter of an Oxford University Press book on Lean in health care. Invited to lecture on systemic organizational change at the Higher School of Economics in Moscow.
Four learning spaces where you build, and five community spaces where you compare notes.
Three courses, fifteen modules, plus short tutorial videos added as the field moves. Systems Thinking to AI Agents · Planning & Execution with Algorithmic Methods · Designing & Improving Workflows.
Video walk-throughs, skill guides for planning, research, refactoring and debugging, and workflows for assessing impact before you change anything. Lean discipline applied to AI-assisted development.
Download and run your own proactive AI second brain. Setup videos, manuals, and hands-on exercises for email, Slack and calendar integrations, proactivity levels, and optional advanced workshops for building your own.
Setup and mastery of OpenClaw, Hermes, and each new agent platform as it emerges. Fundamentals, deployment, agent management, memory, and prompting strategy.
Drag-and-drop workflow design with downloadable JSON you can import and run. The clearest path from no-code to low-code, and the place where agent architecture becomes visible and editable.
The resisters will wait. The uncertain will hesitate. The embracers are already here.
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