Kinetic Change · Dojos · Immersive Learning

The organizations that win with AI aren't the ones with the best tools.

They're the ones that learned how to use them together. A 4–8 week immersive sprint that builds AI capability inside your team — on real work, with a coach embedded.

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What is a dojo
A practice space, not a classroom.

In martial arts, a dojo is where skill is built through repetition, feedback, and real stakes. The AI Dojo borrows that structure: a small team, working on something that actually matters, learning AI practices by applying them — with a coach in the room.

Unlike a training day or a workshop, the dojo produces real output. The work doesn't stop while the learning happens. They're the same thing.

Two formats. One practice.
Software development teams
The AI Coding Dojo

Designed for development teams ready to move beyond individual Copilot use toward shared AI practices that improve delivery quality — not just individual speed. The dojo leverages the skills of your most AI-savvy senior developers and works on real code, real tests, or real technical debt from your backlog. Your teams learn how to learn together.

Grounded in DORA research: AI amplifies existing engineering discipline, for better or worse. The dojo builds the habits that make AI safe and effective at the team level.

Teams leave with
  • Deeper cognitive skills for specification, delegation, and problem-solving
  • Token and context management practices that keep AI output grounded and reliable
  • Shared AI prompting and review norms embedded in the repo
  • Working instances of AI-assisted test generation and self-healing automation
  • A small-batch discipline that prevents AI-accelerated instability
  • Direct experience converting manual test cases to automated scripts
  • A common language for evaluating AI output quality
Non-technical and mixed teams
The AI Business Dojo

Designed for operations, product, marketing, and leadership teams who need to move from AI curiosity to AI fluency. The dojo works on real business problems: process documentation, client communications, research synthesis, decision support.

Rooted in Kinetic Change's organizational behavior framework — because AI adoption is about helping people through change as much as it is a technology problem.

Teams leave with
  • Deeper cognitive skills for specification, delegation, and problem-solving
  • Token and context management practices that keep AI output grounded and reliable
  • Clarity about how data flows through systems involving AI
  • Documented AI workflows for the team's three highest-friction tasks
  • A shared prompt library built around actual team language and context
  • Clearer role boundaries between human judgment and AI output
  • A governance starting point: what gets reviewed, by whom, and why
  • Confidence, not just competence — and the ability to tell the difference
How it works
1
Assess and select
We identify the right work — real, prioritized, with enough learning surface — and the right starting capabilities. No dojo begins without a clear definition of done.
2
Immerse and build
The core dojo team works together with a Kinetic Change coach embedded. Learning happens through doing, not instruction. Mistakes are expected and used.
3
Rotate and spread
New participants cycle through while dojo alumni carry practices back to their regular teams. The dojo functions as a seeding mechanism, not a silo.
4
Document and sustain
Every dojo produces artifacts that outlast it: shared norms, prompt libraries, workflow templates, and a clear picture of what changed — and what still needs to.
Why this works
Real work over exercises

Learning on toy problems doesn't transfer. Dojo participants work on actual priorities — so the skills stick and the output ships.

Team capability first

Individual AI gains routinely fail to become team gains. The dojo is explicitly designed to build shared practice, not just personal proficiency.

Psychological safety

Effective AI use requires permission to be uncertain. We design the environment so "I don't know" is the fastest path forward.

AI as amplifier

AI reflects existing organizational patterns. The dojo surfaces those patterns alongside the tools — so teams know what they're amplifying.

Habits over heroics

Sustainable AI adoption is behavioral. We focus on small, repeatable practices that compound — not dramatic transformation that doesn't land.

Evidence-based design

Every format is shaped by DORA research, organizational psychology, and real transformation work — not vendor marketing.

About us

Kinetic Change is run by Erika Lenz and Fayoké Longe. We build with AI together every day — for our business, for client work, and for fun. What we teach is what we actually use.

Erika Lenz

Erika has spent fifteen years helping organizations navigate big technology changes — as an agile coach, product leader, and transformation consultant from startups to Fortune 100s. She has led agentic AI programs at scale, co-founded WhisperQuake, and runs Denver's Human-Centric AI meetup.

Fayoké Longe

Fayoké comes to AI from twenty years in design and strategy — work that requires translating other people's thinking into something concrete enough to ship. She's built brands and digital infrastructure for organizations from small businesses to Fortune 500s, and continues to teach and write on design futures.

Next step · No obligation
Ready to practice on something real?
Thirty minutes, no slides. We'll talk about what your team is navigating and whether a dojo is the right shape for it. If it's not, we'll tell you and point you somewhere better.
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