HOW I WORK

AI projects move differently.

AI projects aren't traditional IT projects. The best ones emerge through fast try/learn/try/learn loops. Someone who knows the business (you) and someone who knows the tools (me), in the room together.
Innovation partnership.

THE WORK

Your business problems. My toolbox.

I'm a full-time AI practitioner and technologist who comes from the arts. You're full-time arts and culture professionals with hard problems to solve.

What if we combined what I know (five years deep in applied AI on top of two decades building technology for this sector) with what you know (your job, your team, and how your organization really works) to solve problems with that dream team?

Me as your "player-coach." On the field with the team, hands-on, helping everyone get better and transferring what I know as we go.

The whole team benefits.

It works anywhere in the building: executive table, IT, finance, development, marketing, box office, education, facilities. (Artistic side? Now, that's entirely their call!)

Imagine what we could get done together.

Your team’s confidence and skill with AI grows while we build.

I leave happier knowing you can run the playbook when I'm gone.

I am building my own “10x”, compounding my impact skillset every day. Not because it's “the thing” but because I live how useful AI is for me. I relish the moments when I figure out something new and substantial in my skill with AI. My impact compounds more as I continue to build my context stack and expand my agentic AI work.

My job is to help individuals and teams compound their impact too. One step at a time.

That’s the whole point of AI for arts and culture.

PARTNERSHIP MATTERS

Building it together is magic

"Hey, consultant! Go build us this magic button thing." (Traditional IT project speak).

That will get you a button to push. But with AI, the real benefit isn't the button, it's knowing how to keep the button working, and how to build more of them yourselves.

I'm not a typical consultant. I loathe handing clients a black box that keeps them dependent on me. Don’t worry, I'm all about getting it done — but collaboratively. Buttons and skills, built at the same time in your team.

Three reasons:

  1. Better results.
    The best AI work pairs the people who know the problem (you) with someone who knows the tools (me).
    This is how real innovation teams run. It’s how good AI works too.
  2. Your team levels up.
    Working side by side, what I know about AI becomes what your team knows. No formal talk-at-you training can beat building something real, together. Learn by doing.
  3. It lasts.
    AI context ages and data drifts. The tech keeps changing. A team that helped build the thing knows how and when to tune it after I'm gone.
WHAT YOU GET

Deliverables.

COMMON WORK PATTERN

How the work usually moves.

  1. 1

    Orient

    What's driving the ask for AI help? What outcomes do you want, who does it affect, and how soon? Usually covered in the RFP or onboarding discussions.

  2. 2

    Discovery and Roadmap

    I spend time with your teams, understanding their work, systems, data, risks and vibe about AI. This is 1000% worthwhile and pays dividends across the whole engagement. From this base, I create a deeply informed AI roadmap that connects the next steps for your organization with current-state tech. I don't leave until you understand the findings and know what to do with them. Usually quoted separately, as phase 1.

  3. 3

    Implementation

    Put the right fix to work — usually by exploring tools you already have, sometimes with something built for the purpose. Tested and adjusted with the people who'll use it. This is where the player-coach role kicks in: your expertise meets mine, we make something that works, and you know how to run (and write) the playbook when I leave. Usually quoted as a monthly retainer with goals and checkpoints.

  4. 4

    Team Empowerment

    You end up with a team better at AI leverage than when I arrived, running the work themselves. My goal is to do this while building, rather than as a formal handoff. Some projects do benefit from a formal handoff and training. To be discussed.

THE RIGHT PERSON

Is this a good fit?

I'm a good fit if…

  • You want a partner who gets AI relative to the cultural sector, not a generic outsider.
  • You want executive-level clarity and someone who will actually do the work, in the same conversation.
  • You have an executive sponsor or clear internal owner and you can give me access to the workflows, constraints, and people most familiar with the work at hand.
  • The people closest to the target work are open to learning about AI and working with me as a build/implement partner. (I'm aware time constraints are serious for your busy team. We make this work around them.)
  • Your leadership team values AI and innovation capability living inside your organization.
  • You have team members who aren't sure about AI. AI skeptics are always welcome and invariably raise the concerns that make the work better.

I'm probably not a fit if…

  • You're checking an AI box for optics.
  • Your team truly can't take time for collaboration, discovery, testing, and decisions. I don't work alone on implementation — see above for why.
Start a conversation
START WITH A CONVERSATION

Just humans, figuring it out.

No conversation is too small or too big. It's low-key discovery in both directions.

Let's talk