Disruption Joe

AI adoption starts with people, not prompts.

I design engaging, insight-rich sessions that help teams move from curiosity and skepticism to excitement-driven alignment with concrete next steps.

Explore AI Activations

Tangible outcomes you can point to.

AI Readiness Assessment
An honest read on where the team is: who's ready, what's blocking progress, and what constraints around tools, trust, or data need to be addressed first.
Use-Case Identification
Workflows and opportunities surfaced from real work during the session, not hypotheticals. Ranked by value, effort, and fit so the team knows where to start.
Adoption Roadmap
A clear sequence for what to try first, what comes later, and what kind of follow-through keeps momentum going after the session ends.
Capability Building
A team that now has common language, shared confidence, and enough firsthand experience that adoption doesn't depend on one or two champions.

Most AI sessions are either engaging or useful, not both.

Magic happens when you get people involved early in ways that feel light, approachable, and unexpectedly fun. The room wakes up. People laugh.

Somebody tries something clever. Somebody else realizes they can do this too. The energy shifts before anyone has had time to brace for another stiff workshop.

The fun part shouldn't be a detour from the useful part. It is how the useful part begins.

And that is where it gets interesting.

As people engage, the real stuff starts coming out: the recurring headaches, the annoying bottlenecks, the tasks that quietly eat hours, the places where AI might actually help.

So before people realize that session has officially started, the work is already underway. The team is not just warming up. It is generating the raw material for sharper priorities, stronger alignment, and next steps that feel real.

A methodology sits underneath the session.

Every session is built from my AI Activations Playbook, an AI-native methodology that combines strong facilitation patterns with hands-on engagement so teams leave with useful outputs, not just a good conversation.

Session Architecture
8 arcs·30 plays·31 moves
A sample from the playbook. Each session draws from a larger library, customized for the team.

Moves a room from concrete workflow pain points and frustrations into a clearer map of practical AI-relevant opportunities.

Plays — modules of work inside this arc
Moves — interaction patterns inside this play
  • Private-to-Shared
  • Before-and-After Rewrite
  • Cluster-and-Name
Moves — interaction patterns inside this play
  • Friction-to-Opportunity Flip
  • Build-and-Compare
  • Prompt Crazy 8s

Moves a room from caution, skepticism, or trust concerns into more grounded confidence and constructive engagement.

Plays — modules of work inside this arc
Moves — interaction patterns inside this play
  • Private-to-Shared
  • Evidence Ladder
  • Same-Input / Different-Lens
Moves — interaction patterns inside this play
  • Cluster-and-Name
  • AI Roleplay Fishbowl
  • Blind Ranking

Moves a room from broad curiosity or open exploration into explicit priorities, decisions, and owned next steps.

Plays — modules of work inside this arc
Moves — interaction patterns inside this play
  • Expand-Then-Cut
  • Constraint Injection
  • Red Team / Blue Team
Moves — interaction patterns inside this play
  • Commit-and-Translate
  • Future Snapshot
  • Synthesis Pass
Also in the library
Arcs → Readiness to Shared Starting Point · Opportunity to Pilot Shape · Problem to Shared Focus · Readiness to Activation · Opportunity to Prioritized Backlog
Plays → Opportunity Clustering · Failed Attempt Retrospective · Pilot Shape Draft · Problem Framing · Opportunity Evaluation
Moves → Human-AI Draft Pick · Relay / Handoff · Prompt Tournament · Persona Lens Review · Debate Chamber
More about the playbook

Your team will talk about this session for weeks.

The hardest part of AI adoption is not finding the right tool. It's getting a room full of people with different experience levels to engage honestly, try things, and leave with shared momentum. That's what I do.

I've spent years using AI in production environments, building products, and advising teams through ambiguous situations. But what makes the session work is something harder to find on a resume: I know how to run a room.

I spent ten years DJing on the side. I worked in retail sales and bartending through my twenties. Those jobs trained me how to read a crowd, keep different kinds of people engaged in the same experience, hold energy without losing direction, and turn a live room into something that moves.

That's the combination. Real AI fluency. Operator judgment. And the kind of facilitation instinct that makes people feel included, keeps things fun, and still produces something useful by the time the session ends.

When you bring me in, your people enjoy the experience and leave more capable and more motivated than any standard workshop gets them. Don't be surprised when other leaders start asking you how you got everybody so activated.

Learn more about Joe

Which sounds more like you?

"I'm responsible for a team that needs to get smarter about AI."

Identifying useful workflows is part of it. But the real shift is what happens to your team. People who walked in unsure walk out energized. Instead of one more report about where AI could help, you have a team actively driving the success of any initiatives you run.

Explore team sessions

"I want to get better at AI for myself."

Maybe you want to save 20 hours of tinkering. Maybe you want to become the AI person at work. Maybe you want a real sparring partner who can show you what's worth using. Or maybe you're thinking about this for your team eventually, and you want to experience it first.

Explore individual sessions
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